| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab | 5 | Neural Architectures for Nested NER through Linearization | Jana Straková, Milan Straka, Jan Hajic | https://www.aclweb.org/anthology/P19-1527.pdf |
| 2019 | ACL | # arch-att, arch-copy, search-viterbi, pre-glove, task-extractive, task-seq2seq, task-relation | 2 | TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks | Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki | https://www.aclweb.org/anthology/P19-1204.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-cnn, arch-att, arch-transformer, pre-skipthought, pre-bert, task-extractive, task-lm, task-seq2seq, task-cloze | 0 | Sentence Centrality Revisited for Unsupervised Summarization | Hao Zheng, Mirella Lapata | https://www.aclweb.org/anthology/P19-1628.pdf |
| 2019 | ACL | # optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 2 | Incremental Transformer with Deliberation Decoder for Document Grounded Conversations | Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou | https://www.aclweb.org/anthology/P19-1002.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, latent-vae, loss-nce, task-seq2seq, task-tree, task-graph | 0 | Discourse Representation Parsing for Sentences and Documents | Jiangming Liu, Shay B. Cohen, Mirella Lapata | https://www.aclweb.org/anthology/P19-1629.pdf |
| 2019 | ACL | # optim-adam, train-transfer, arch-rnn, arch-gru, arch-att, arch-subword, task-lm, task-seq2seq | 3 | Multimodal Abstractive Summarization for How2 Videos | Shruti Palaskar, Jindřich Libovický, Spandana Gella, Florian Metze | https://www.aclweb.org/anthology/P19-1659.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-labelsmooth, norm-batch, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, task-seqlab, task-lm, task-seq2seq | 1 | Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation | Elizabeth Salesky, Matthias Sperber, Alan W Black | https://www.aclweb.org/anthology/P19-1179.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-memo, arch-coverage, pre-elmo, pre-bert, task-spanlab | 3 | Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index | Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/P19-1436.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, search-beam, pre-bert, latent-vae, task-condlm, task-seq2seq | 1 | Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems | Hung Le, Doyen Sahoo, Nancy Chen, Steven Hoi | https://www.aclweb.org/anthology/P19-1564.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning | Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1231.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-extractive, task-lm, task-context | 0 | Self-Supervised Learning for Contextualized Extractive Summarization | Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang | https://www.aclweb.org/anthology/P19-1214.pdf |
| 2019 | ACL | # arch-lstm, arch-gnn, arch-cnn, arch-att, arch-bilinear, pre-glove, latent-vae, loss-nce, task-seqlab, task-condlm, task-seq2seq, task-relation | 1 | Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization | Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency | https://www.aclweb.org/anthology/P19-1152.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq | 3 | E3: Entailment-driven Extracting and Editing for Conversational Machine Reading | Victor Zhong, Luke Zettlemoyer | https://www.aclweb.org/anthology/P19-1223.pdf |
| 2019 | ACL | # train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear | 0 | Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks | Anush Kamath, Sparsh Gupta, Vitor Carvalho | https://www.aclweb.org/anthology/P19-1556.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, struct-crf | 2 | A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling | Haihong E, Peiqing Niu, Zhongfu Chen, Meina Song | https://www.aclweb.org/anthology/P19-1544.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-word2vec, task-lm, task-condlm, task-seq2seq | 1 | Attention-based Conditioning Methods for External Knowledge Integration | Katerina Margatina, Christos Baziotis, Alexandros Potamianos | https://www.aclweb.org/anthology/P19-1385.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-fasttext, pre-bert, struct-crf, task-relation | 0 | Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections | Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig | https://www.aclweb.org/anthology/P19-1311.pdf |
| 2019 | ACL | # optim-adagrad, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-gnn, arch-att, search-beam, search-viterbi, pre-glove, pre-skipthought, pre-elmo, task-lm, task-relation | 0 | Multi-Relational Script Learning for Discourse Relations | I-Ta Lee, Dan Goldwasser | https://www.aclweb.org/anthology/P19-1413.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, struct-crf | 0 | Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference | He Bai, Yu Zhou, Jiajun Zhang, Chengqing Zong | https://www.aclweb.org/anthology/P19-1541.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq | 0 | An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese | Enkhbold Bataa, Joshua Wu | https://www.aclweb.org/anthology/P19-1458.pdf |
| 2019 | ACL | # reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-cnn, arch-att, arch-subword, arch-transformer, adv-examp, task-textclass, task-lm, task-seq2seq | 6 | Robust Neural Machine Translation with Doubly Adversarial Inputs | Yong Cheng, Lu Jiang, Wolfgang Macherey | https://www.aclweb.org/anthology/P19-1425.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, arch-lstm, arch-att, task-lm, task-seq2seq | 4 | Word-order Biases in Deep-agent Emergent Communication | Rahma Chaabouni, Eugene Kharitonov, Alessandro Lazaric, Emmanuel Dupoux, Marco Baroni | https://www.aclweb.org/anthology/P19-1509.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-bilinear, comb-ensemble, struct-crf, struct-cfg, task-seqlab, task-relation | 2 | Sequence Labeling Parsing by Learning across Representations | Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/P19-1531.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, loss-nce, task-lm, task-seq2seq | 0 | Learning from Omission | Bill McDowell, Noah Goodman | https://www.aclweb.org/anthology/P19-1059.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-gru, arch-att, pre-glove, latent-vae, task-lm | 2 | Target-Guided Open-Domain Conversation | Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric Xing, Zhiting Hu | https://www.aclweb.org/anthology/P19-1565.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-memo, task-tree | 0 | Interpretable Question Answering on Knowledge Bases and Text | Alona Sydorova, Nina Poerner, Benjamin Roth | https://www.aclweb.org/anthology/P19-1488.pdf |
| 2019 | ACL | # optim-adam, arch-gru, arch-cnn, arch-att | 0 | Neural News Recommendation with Topic-Aware News Representation | Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/P19-1110.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, arch-coverage, comb-ensemble, search-beam, task-lm, task-seq2seq | 3 | Data-to-text Generation with Entity Modeling | Ratish Puduppully, Li Dong, Mirella Lapata | https://www.aclweb.org/anthology/P19-1195.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, norm-batch, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-lm, task-seq2seq | 0 | Training Hybrid Language Models by Marginalizing over Segmentations | Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin | https://www.aclweb.org/anthology/P19-1143.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, task-seqlab, task-relation | 0 | Deep Dominance - How to Properly Compare Deep Neural Models | Rotem Dror, Segev Shlomov, Roi Reichart | https://www.aclweb.org/anthology/P19-1266.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-transformer, nondif-reinforce, task-relation, task-tree | 0 | AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing | Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/P19-1418.pdf |
| 2019 | ACL | # optim-adam, optim-projection, pool-max, arch-cnn, arch-att, arch-transformer, pre-word2vec, latent-topic, task-textclass, task-seq2seq, task-alignment | 1 | Improving Textual Network Embedding with Global Attention via Optimal Transport | Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin | https://www.aclweb.org/anthology/P19-1512.pdf |
| 2019 | ACL | # optim-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, nondif-minrisk, task-seq2seq | 8 | Bridging the Gap between Training and Inference for Neural Machine Translation | Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu | https://www.aclweb.org/anthology/P19-1426.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-bilstm, arch-att, pre-word2vec | 5 | Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network | Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim | https://www.aclweb.org/anthology/P19-1093.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-spanlab, task-lm, task-seq2seq | 4 | Cross-Lingual Training for Automatic Question Generation | Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi | https://www.aclweb.org/anthology/P19-1481.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-active, arch-rnn, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, task-seq2seq | 2 | Collaborative Dialogue in Minecraft | Anjali Narayan-Chen, Prashant Jayannavar, Julia Hockenmaier | https://www.aclweb.org/anthology/P19-1537.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, train-active, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-lm | 0 | Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions | Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria, Thamar Solorio | https://www.aclweb.org/anthology/P19-1112.pdf |
| 2019 | ACL | # train-mll, train-parallel, arch-rnn, arch-att, arch-subword, pre-fasttext, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 1 | Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation | Viktor Hangya, Alexander Fraser | https://www.aclweb.org/anthology/P19-1118.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, activ-tanh, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq | 0 | Incorporating Linguistic Constraints into Keyphrase Generation | Jing Zhao, Yuxiang Zhang | https://www.aclweb.org/anthology/P19-1515.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, task-lm, task-condlm | 1 | Generating Question Relevant Captions to Aid Visual Question Answering | Jialin Wu, Zeyuan Hu, Raymond Mooney | https://www.aclweb.org/anthology/P19-1348.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-rnn, arch-cnn, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, task-lm, task-relation | 0 | Global Textual Relation Embedding for Relational Understanding | Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su | https://www.aclweb.org/anthology/P19-1127.pdf |
| 2019 | ACL | # reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-relation | 8 | Head-Driven Phrase Structure Grammar Parsing on Penn Treebank | Junru Zhou, Hai Zhao | https://www.aclweb.org/anthology/P19-1230.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, reg-labelsmooth, train-mtl, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, struct-cfg, task-textclass, task-lm, task-seq2seq, task-relation | 1 | Scalable Syntax-Aware Language Models Using Knowledge Distillation | Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom | https://www.aclweb.org/anthology/P19-1337.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, arch-rnn, arch-gru, arch-att, pre-word2vec, task-lm, task-seq2seq | 15 | Disentangled Representation Learning for Non-Parallel Text Style Transfer | Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova | https://www.aclweb.org/anthology/P19-1041.pdf |
| 2019 | ACL | # norm-layer, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, task-textclass, task-spanlab, task-lm, task-seq2seq | 5 | Large-Scale Transfer Learning for Natural Language Generation | Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, Thomas Wolf | https://www.aclweb.org/anthology/P19-1608.pdf |
| 2019 | ACL | # arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, latent-vae, task-seq2seq | 3 | Imitation Learning for Non-Autoregressive Neural Machine Translation | Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun | https://www.aclweb.org/anthology/P19-1125.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-seq2seq | 1 | DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction | Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu | https://www.aclweb.org/anthology/P19-1137.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-bert, loss-nce, task-textclass, task-textpair | 0 | Matching Article Pairs with Graphical Decomposition and Convolutions | Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu | https://www.aclweb.org/anthology/P19-1632.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-att, arch-residual, arch-coverage, latent-vae, loss-nce, task-lm, task-seq2seq, task-lexicon | 1 | Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B | Jiaming Luo, Yuan Cao, Regina Barzilay | https://www.aclweb.org/anthology/P19-1303.pdf |
| 2019 | ACL | # optim-projection, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, comb-ensemble, pre-fasttext, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 3 | Massively Multilingual Transfer for NER | Afshin Rahimi, Yuan Li, Trevor Cohn | https://www.aclweb.org/anthology/P19-1015.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, task-textpair, task-lm, task-seq2seq | 4 | Multimodal Transformer for Unaligned Multimodal Language Sequences | Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov | https://www.aclweb.org/anthology/P19-1656.pdf |
| 2019 | ACL | # optim-sgd, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-seqlab, task-seq2seq | 0 | End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories | Rui Mao, Chenghua Lin, Frank Guerin | https://www.aclweb.org/anthology/P19-1378.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, pre-elmo, task-seqlab, task-lm, task-tree | 2 | End-to-end Deep Reinforcement Learning Based Coreference Resolution | Hongliang Fei, Xu Li, Dingcheng Li, Ping Li | https://www.aclweb.org/anthology/P19-1064.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-skipthought, pre-bert, task-seqlab | 0 | Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations | Sumeet Kumar, Kathleen Carley | https://www.aclweb.org/anthology/P19-1498.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-decay, train-mtl, arch-lstm, arch-bilstm, arch-att, task-condlm, task-seq2seq | 1 | Storyboarding of Recipes: Grounded Contextual Generation | Khyathi Chandu, Eric Nyberg, Alan W Black | https://www.aclweb.org/anthology/P19-1606.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, search-beam, search-viterbi, pre-elmo, struct-crf, task-seqlab, task-seq2seq, task-tree | 0 | Span-Level Model for Relation Extraction | Kalpit Dixit, Yaser Al-Onaizan | https://www.aclweb.org/anthology/P19-1525.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-coverage, comb-ensemble, search-viterbi, struct-crf, adv-train, task-textclass, task-seq2seq, task-relation | 0 | A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining | Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1516.pdf |
| 2019 | ACL | # train-mll, pool-max, arch-lstm, arch-att, arch-memo, nondif-reinforce, adv-train, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze, task-context | 1 | Self-Supervised Dialogue Learning | Jiawei Wu, Xin Wang, William Yang Wang | https://www.aclweb.org/anthology/P19-1375.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, norm-gradient, arch-rnn, arch-lstm, arch-att, search-beam, pre-elmo, latent-vae, task-extractive, task-lm, task-seq2seq | 1 | Simple Unsupervised Summarization by Contextual Matching | Jiawei Zhou, Alexander Rush | https://www.aclweb.org/anthology/P19-1503.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq | 0 | Inducing Document Structure for Aspect-based Summarization | Lea Frermann, Alexandre Klementiev | https://www.aclweb.org/anthology/P19-1630.pdf |
| 2019 | ACL | # init-glorot, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, loss-nce | 0 | Toward Comprehensive Understanding of a Sentiment Based on Human Motives | Naoki Otani, Eduard Hovy | https://www.aclweb.org/anthology/P19-1461.pdf |
| 2019 | ACL | # reg-labelsmooth, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, latent-vae, task-seq2seq | 4 | Syntactically Supervised Transformers for Faster Neural Machine Translation | Nader Akoury, Kalpesh Krishna, Mohit Iyyer | https://www.aclweb.org/anthology/P19-1122.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seq2seq | 1 | Dense Procedure Captioning in Narrated Instructional Videos | Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou | https://www.aclweb.org/anthology/P19-1641.pdf |
| 2019 | ACL | # train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, adv-train, task-seq2seq | 0 | Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation | Francine Chen, Yan-Ying Chen | https://www.aclweb.org/anthology/P19-1211.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm | 0 | Detecting Concealed Information in Text and Speech | Shengli Hu | https://www.aclweb.org/anthology/P19-1039.pdf |
| 2019 | ACL | # optim-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-condlm, task-seq2seq | 0 | Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing | Yuanchao Liu, Bo Pang, Bingquan Liu | https://www.aclweb.org/anthology/P19-1552.pdf |
| 2019 | ACL | # optim-projection, arch-rnn, arch-gru, arch-att, arch-copy, arch-coverage, pre-glove, task-extractive, task-seq2seq | 1 | Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization | Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke | https://www.aclweb.org/anthology/P19-1210.pdf |
| 2019 | ACL | # optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, pre-word2vec, pre-glove | 1 | Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing | Sijie Mai, Haifeng Hu, Songlong Xing | https://www.aclweb.org/anthology/P19-1046.pdf |
| 2019 | ACL | # optim-adadelta, arch-rnn, arch-gru, arch-att, arch-memo, arch-copy, search-beam, latent-vae, task-lm, task-seq2seq | 0 | Neural Response Generation with Meta-words | Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang | https://www.aclweb.org/anthology/P19-1538.pdf |
| 2019 | ACL | # optim-adam, optim-amsgrad, optim-projection, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling | Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman | https://www.aclweb.org/anthology/P19-1439.pdf |
| 2019 | ACL | # train-mll, arch-lstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, loss-svd | 1 | Relational Word Embeddings | Jose Camacho-Collados, Luis Espinosa Anke, Steven Schockaert | https://www.aclweb.org/anthology/P19-1318.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mtl, train-active, arch-att, arch-subword, arch-transformer, pre-fasttext, task-condlm | 14 | Learning from Dialogue after Deployment: Feed Yourself, Chatbot! | Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare, Jason Weston | https://www.aclweb.org/anthology/P19-1358.pdf |
| 2019 | ACL | # optim-adam, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, task-textpair | 0 | Predicting Human Activities from User-Generated Content | Steven Wilson, Rada Mihalcea | https://www.aclweb.org/anthology/P19-1245.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-fasttext, pre-glove, latent-vae, task-relation | 1 | An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier | https://www.aclweb.org/anthology/P19-1048.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-paravec, task-condlm, task-seq2seq | 1 | Improving Visual Question Answering by Referring to Generated Paragraph Captions | Hyounghun Kim, Mohit Bansal | https://www.aclweb.org/anthology/P19-1351.pdf |
| 2019 | ACL | # train-mll, arch-rnn, arch-att, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq | 5 | Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention | Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, Weihua Luo | https://www.aclweb.org/anthology/P19-1305.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, nondif-straightthrough, nondif-reinforce, latent-vae, task-textclass, task-textpair, task-lm | 3 | Interpretable Neural Predictions with Differentiable Binary Variables | Joost Bastings, Wilker Aziz, Ivan Titov | https://www.aclweb.org/anthology/P19-1284.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq | 2 | Soft Contextual Data Augmentation for Neural Machine Translation | Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu | https://www.aclweb.org/anthology/P19-1555.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq | 3 | Neural News Recommendation with Long- and Short-term User Representations | Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie | https://www.aclweb.org/anthology/P19-1033.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, train-transfer, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-lm, task-seq2seq, task-relation, task-lexicon | 1 | Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation | Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1119.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-relation, task-graph | 2 | Graph-based Dependency Parsing with Graph Neural Networks | Tao Ji, Yuanbin Wu, Man Lan | https://www.aclweb.org/anthology/P19-1237.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-selfatt, arch-coverage, latent-vae, task-textpair, task-lm, task-condlm, task-relation, task-tree | 1 | Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming | Caio Corro, Ivan Titov | https://www.aclweb.org/anthology/P19-1551.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-gru, arch-gnn, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-spanlab, task-seq2seq | 6 | Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs | Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou | https://www.aclweb.org/anthology/P19-1260.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-relation | 1 | Neural Machine Translation with Reordering Embeddings | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita | https://www.aclweb.org/anthology/P19-1174.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, pre-glove, struct-crf, task-seqlab | 3 | Joint Entity Extraction and Assertion Detection for Clinical Text | Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia | https://www.aclweb.org/anthology/P19-1091.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, struct-crf, task-textclass | 3 | Transfer Capsule Network for Aspect Level Sentiment Classification | Zhuang Chen, Tieyun Qian | https://www.aclweb.org/anthology/P19-1052.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-transfer, arch-gru, arch-gcnn, arch-cnn, arch-att, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Hierarchical Transfer Learning for Multi-label Text Classification | Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal, Kostas Tsioutsiouliklis | https://www.aclweb.org/anthology/P19-1633.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, comb-ensemble, task-seq2seq, task-tree | 0 | Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions | Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang | https://www.aclweb.org/anthology/P19-1619.pdf |
| 2019 | ACL | # train-transfer, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-bert, adv-train, task-relation | 6 | Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers | Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar | https://www.aclweb.org/anthology/P19-1132.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-glove, pre-bert, task-textclass, task-seqlab, task-seq2seq | 4 | DocRED: A Large-Scale Document-Level Relation Extraction Dataset | Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun | https://www.aclweb.org/anthology/P19-1074.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-treelstm, arch-att, pre-word2vec, pre-elmo, pre-bert, task-textpair, task-seq2seq, task-alignment | 0 | Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation | Nitika Mathur, Timothy Baldwin, Trevor Cohn | https://www.aclweb.org/anthology/P19-1269.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, pre-glove, loss-cca, task-seq2seq | 0 | Exploring Author Context for Detecting Intended vs Perceived Sarcasm | Silviu Oprea, Walid Magdy | https://www.aclweb.org/anthology/P19-1275.pdf |
| 2019 | ACL | # arch-lstm, arch-att | 0 | Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering | Claudio Greco, Barbara Plank, Raquel Fernández, Raffaella Bernardi | https://www.aclweb.org/anthology/P19-1350.pdf |
| 2019 | ACL | # train-augment, arch-rnn, arch-lstm, arch-att, arch-bilinear, arch-coverage, search-beam, pre-glove | 10 | Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation | Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie, Jason Baldridge | https://www.aclweb.org/anthology/P19-1181.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-bert, task-spanlab, task-seq2seq | 0 | Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension | Zhengyuan Liu, Nancy Chen | https://www.aclweb.org/anthology/P19-1543.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-condlm, task-seq2seq | 2 | Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning | Zhihao Fan, Zhongyu Wei, Siyuan Wang, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1652.pdf |
| 2019 | ACL | # init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, pre-elmo, pre-bert, struct-crf, task-textclass | 12 | Joint Slot Filling and Intent Detection via Capsule Neural Networks | Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip Yu | https://www.aclweb.org/anthology/P19-1519.pdf |
| 2019 | ACL | # train-mtl, pool-max, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, pre-fasttext, pre-bert, task-lm, task-seq2seq, task-relation | 0 | Empirical Linguistic Study of Sentence Embeddings | Katarzyna Krasnowska-Kieraś, Alina Wróblewska | https://www.aclweb.org/anthology/P19-1573.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 3 | On the Word Alignment from Neural Machine Translation | Xintong Li, Guanlin Li, Lemao Liu, Max Meng, Shuming Shi | https://www.aclweb.org/anthology/P19-1124.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, task-lm, task-seq2seq | 1 | Towards Fine-grained Text Sentiment Transfer | Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun | https://www.aclweb.org/anthology/P19-1194.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, train-mll, pool-mean, arch-gnn, arch-att, arch-selfatt, arch-subword, loss-triplet | 7 | Multi-Channel Graph Neural Network for Entity Alignment | Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua | https://www.aclweb.org/anthology/P19-1140.pdf |
| 2019 | ACL | # optim-adam, train-mll, train-transfer, train-active, arch-cnn, arch-att, search-viterbi, struct-crf, task-textclass, task-seqlab | 0 | Learning How to Active Learn by Dreaming | Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari | https://www.aclweb.org/anthology/P19-1401.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, arch-subword, pre-elmo, task-textpair, task-lm, task-seq2seq | 0 | Towards Language Agnostic Universal Representations | Armen Aghajanyan, Xia Song, Saurabh Tiwary | https://www.aclweb.org/anthology/P19-1395.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-relation | 2 | Multi-grained Named Entity Recognition | Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip Yu | https://www.aclweb.org/anthology/P19-1138.pdf |
| 2019 | ACL | # optim-adam, init-glorot, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, loss-nce, task-seq2seq | 0 | Joint Effects of Context and User History for Predicting Online Conversation Re-entries | Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong | https://www.aclweb.org/anthology/P19-1270.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, pre-bert, adv-examp, latent-vae, task-spanlab, task-seq2seq | 3 | Learning to Ask Unanswerable Questions for Machine Reading Comprehension | Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu | https://www.aclweb.org/anthology/P19-1415.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-transfer, arch-rnn, arch-att, arch-subword, task-lm, task-seq2seq | 1 | Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation | Wei Wang, Isaac Caswell, Ciprian Chelba | https://www.aclweb.org/anthology/P19-1123.pdf |
| 2019 | ACL | # optim-projection, reg-dropout, train-mll, arch-rnn, arch-att, comb-ensemble, struct-hmm, task-seq2seq, task-relation, task-tree | 0 | Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages | Garrett Nicolai, David Yarowsky | https://www.aclweb.org/anthology/P19-1172.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass, task-lm | 9 | Multilingual Constituency Parsing with Self-Attention and Pre-Training | Nikita Kitaev, Steven Cao, Dan Klein | https://www.aclweb.org/anthology/P19-1340.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, train-augment, arch-lstm, arch-att, arch-subword, arch-transformer, adv-examp, task-seq2seq | 5 | Robust Neural Machine Translation with Joint Textual and Phonetic Embedding | Hairong Liu, Mingbo Ma, Liang Huang, Hao Xiong, Zhongjun He | https://www.aclweb.org/anthology/P19-1291.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, struct-crf, task-textclass | 0 | Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes | Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins, Vivek Srikumar | https://www.aclweb.org/anthology/P19-1563.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-att, search-beam, nondif-reinforce, loss-nce, task-seq2seq, task-tree | 0 | Unified Semantic Parsing with Weak Supervision | Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/P19-1473.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, pre-glove, task-textpair | 0 | Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models | Vesna Djokic, Jean Maillard, Luana Bulat, Ekaterina Shutova | https://www.aclweb.org/anthology/P19-1508.pdf |
| 2019 | ACL | # optim-projection, arch-lstm, arch-att, arch-selfatt, struct-crf, task-seqlab, task-relation | 3 | Crowdsourcing and Aggregating Nested Markable Annotations | Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio | https://www.aclweb.org/anthology/P19-1077.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-residual, arch-gating, arch-subword, arch-transformer, comb-ensemble, search-beam, task-textclass, task-seq2seq | 1 | Depth Growing for Neural Machine Translation | Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu | https://www.aclweb.org/anthology/P19-1558.pdf |
| 2019 | ACL | # train-parallel, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, pre-word2vec, adv-train, latent-vae | 2 | Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation | Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, Jie Zhou | https://www.aclweb.org/anthology/P19-1192.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, arch-memo, pre-word2vec, latent-topic, task-textpair, task-seqlab, task-condlm | 1 | Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network | Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou | https://www.aclweb.org/anthology/P19-1345.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-residual, arch-memo, comb-ensemble, pre-glove, task-textpair, task-condlm, task-tree | 2 | Simple and Effective Text Matching with Richer Alignment Features | Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen | https://www.aclweb.org/anthology/P19-1465.pdf |
| 2019 | ACL | # optim-adam, arch-gru, arch-att, arch-memo, arch-coverage, pre-bert, task-seq2seq | 0 | Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment | Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu | https://www.aclweb.org/anthology/P19-1535.pdf |
| 2019 | ACL | # optim-sgd, arch-lstm, arch-att, arch-memo, nondif-reinforce, task-lm | 2 | What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. | Pushkar Shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk, William Yang Wang | https://www.aclweb.org/anthology/P19-1646.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, norm-gradient, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-glove, task-tree | 2 | Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network | Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou | https://www.aclweb.org/anthology/P19-1423.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, comb-ensemble, search-beam, search-viterbi, pre-word2vec, pre-elmo, pre-bert, task-lm | 0 | Cross-Domain Generalization of Neural Constituency Parsers | Daniel Fried, Nikita Kitaev, Dan Klein | https://www.aclweb.org/anthology/P19-1031.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-batch, norm-gradient, train-transfer, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-elmo, loss-cca, task-lm, task-seq2seq, task-alignment | 1 | Multimodal and Multi-view Models for Emotion Recognition | Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang | https://www.aclweb.org/anthology/P19-1095.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, pre-glove, task-spanlab, task-seq2seq | 0 | Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text | Jianxing Yu, Zhengjun Zha, Jian Yin | https://www.aclweb.org/anthology/P19-1217.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-bilinear, pre-glove, task-spanlab | 0 | Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension | Daesik Kim, Seonhoon Kim, Nojun Kwak | https://www.aclweb.org/anthology/P19-1347.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, loss-margin, task-spanlab, task-lm | 2 | Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension | An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li | https://www.aclweb.org/anthology/P19-1226.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-transformer, search-beam, pre-glove, pre-bert, task-lm, task-condlm, task-seq2seq | 1 | Comparison of Diverse Decoding Methods from Conditional Language Models | Daphne Ippolito, Reno Kriz, Joao Sedoc, Maria Kustikova, Chris Callison-Burch | https://www.aclweb.org/anthology/P19-1365.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq, meta-init | 5 | Domain Adaptive Dialog Generation via Meta Learning | Kun Qian, Zhou Yu | https://www.aclweb.org/anthology/P19-1253.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-lstm, arch-att, arch-copy, pre-bert, struct-cfg, task-seq2seq, task-tree | 4 | Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation | Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang | https://www.aclweb.org/anthology/P19-1444.pdf |
| 2019 | ACL | # arch-cnn, arch-att, arch-copy, pre-bert, task-textpair, task-spanlab, task-lm | 4 | Careful Selection of Knowledge to Solve Open Book Question Answering | Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral | https://www.aclweb.org/anthology/P19-1615.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq | 5 | Sparse Sequence-to-Sequence Models | Ben Peters, Vlad Niculae, André F. T. Martins | https://www.aclweb.org/anthology/P19-1146.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, struct-cfg, adv-train, task-lm, task-seq2seq, task-relation, task-tree | 0 | Language Modeling with Shared Grammar | Yuyu Zhang, Le Song | https://www.aclweb.org/anthology/P19-1437.pdf |
| 2019 | ACL | # arch-lstm, arch-att, pre-elmo, pre-bert, task-lm | 2 | Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation | Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao | https://www.aclweb.org/anthology/P19-1393.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq | 10 | Is Word Segmentation Necessary for Deep Learning of Chinese Representations? | Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li | https://www.aclweb.org/anthology/P19-1314.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-textclass, task-extractive, task-lm, task-seq2seq | 4 | Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model | Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir Radev | https://www.aclweb.org/anthology/P19-1102.pdf |
| 2019 | ACL | # optim-adam, arch-att, arch-coverage, comb-ensemble, pre-bert, task-textpair, task-lm | 2 | Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge | Ashok Prakash, Arpit Sharma, Arindam Mitra, Chitta Baral | https://www.aclweb.org/anthology/P19-1614.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, task-spanlab, task-condlm | 3 | Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives | Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang | https://www.aclweb.org/anthology/P19-1486.pdf |
| 2019 | ACL | # arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq | 5 | Simultaneous Translation with Flexible Policy via Restricted Imitation Learning | Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang | https://www.aclweb.org/anthology/P19-1582.pdf |
| 2019 | ACL | # train-mtl, pool-max, arch-lstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, pre-fasttext, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-tree | 10 | Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications | Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang | https://www.aclweb.org/anthology/P19-1150.pdf |
| 2019 | ACL | # train-mll, arch-att, pre-word2vec, task-lexicon, task-alignment | 6 | Analyzing the Limitations of Cross-lingual Word Embedding Mappings | Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre | https://www.aclweb.org/anthology/P19-1492.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-viterbi, struct-crf, latent-vae, loss-nce, task-relation, task-tree | 1 | Enhancing Unsupervised Generative Dependency Parser with Contextual Information | Wenjuan Han, Yong Jiang, Kewei Tu | https://www.aclweb.org/anthology/P19-1526.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-skipthought, task-textclass | 0 | Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media | Chang Li, Dan Goldwasser | https://www.aclweb.org/anthology/P19-1247.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-elmo, latent-topic, task-textclass | 9 | The Risk of Racial Bias in Hate Speech Detection | Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith | https://www.aclweb.org/anthology/P19-1163.pdf |
| 2019 | ACL | # reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, task-seq2seq | 1 | CNNs found to jump around more skillfully than RNNs: Compositional Generalization in Seq2seq Convolutional Networks | Roberto Dessì, Marco Baroni | https://www.aclweb.org/anthology/P19-1381.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-elmo, loss-svd, task-textclass, task-textpair, task-lm, task-seq2seq, meta-arch | 1 | Continual and Multi-Task Architecture Search | Ramakanth Pasunuru, Mohit Bansal | https://www.aclweb.org/anthology/P19-1185.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-seq2seq | 0 | Historical Text Normalization with Delayed Rewards | Simon Flachs, Marcel Bollmann, Anders Søgaard | https://www.aclweb.org/anthology/P19-1157.pdf |
| 2019 | ACL | # init-glorot, train-transfer, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, latent-topic, task-textclass, task-lm | 1 | Zero-Shot Entity Linking by Reading Entity Descriptions | Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee | https://www.aclweb.org/anthology/P19-1335.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, struct-crf, latent-topic, loss-nce, task-textpair, task-seqlab, task-lm | 1 | Deep Neural Model Inspection and Comparison via Functional Neuron Pathways | James Fiacco, Samridhi Choudhary, Carolyn Rose | https://www.aclweb.org/anthology/P19-1575.pdf |
| 2019 | ACL | # optim-adam, arch-att, arch-selfatt, arch-subword, arch-transformer, task-lm, task-seq2seq | 30 | Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned | Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/P19-1580.pdf |
| 2019 | ACL | # optim-adadelta, train-mll, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, comb-ensemble, pre-word2vec, pre-elmo, adv-train, task-lm, task-seq2seq | 0 | Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning | Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/P19-1429.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, comb-ensemble, pre-glove, task-textclass, task-condlm, task-seq2seq | 10 | Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog | Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao | https://www.aclweb.org/anthology/P19-1648.pdf |
| 2019 | ACL | # optim-adam, arch-att, arch-coverage, task-textclass, task-spanlab, task-relation | 2 | Errudite: Scalable, Reproducible, and Testable Error Analysis | Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, Daniel Weld | https://www.aclweb.org/anthology/P19-1073.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, norm-batch, norm-gradient, train-mtl, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-textclass, task-lm | 1 | #YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media | Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata | https://www.aclweb.org/anthology/P19-1241.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, meta-init | 1 | Few-Shot Representation Learning for Out-Of-Vocabulary Words | Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun | https://www.aclweb.org/anthology/P19-1402.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-elmo, pre-bert, task-seqlab, task-spanlab, task-seq2seq | 0 | MCˆ2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension | Xuanyu Zhang | https://www.aclweb.org/anthology/P19-1622.pdf |
| 2019 | ACL | # optim-adam, arch-att, task-relation | 2 | Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations. | Marcos Garcia, Marcos García Salido, Susana Sotelo, Estela Mosqueira, Margarita Alonso-Ramos | https://www.aclweb.org/anthology/P19-1392.pdf |
| 2019 | ACL | # optim-projection, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 8 | STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework | Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/P19-1289.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-att, task-textclass, task-seqlab | 0 | You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification | Angelo Basile, Albert Gatt, Malvina Nissim | https://www.aclweb.org/anthology/P19-1246.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, train-transfer, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-greedy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree | 1 | Complex Question Decomposition for Semantic Parsing | Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang | https://www.aclweb.org/anthology/P19-1440.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq | 2 | Improving Abstractive Document Summarization with Salient Information Modeling | Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang | https://www.aclweb.org/anthology/P19-1205.pdf |
| 2019 | ACL | # reg-dropout, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-subword, latent-topic, task-textclass | 0 | Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese | Sheng Xu, Peifeng Li, Fang Kong, Qiaoming Zhu, Guodong Zhou | https://www.aclweb.org/anthology/P19-1058.pdf |
| 2019 | ACL | # train-mtl, arch-rnn, arch-lstm, arch-att, arch-transformer, search-beam, pre-bert, task-seq2seq | 1 | Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference | Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych | https://www.aclweb.org/anthology/P19-1213.pdf |
| 2019 | ACL | # train-augment, arch-lstm, arch-att, arch-transformer, task-lm, task-condlm, task-seq2seq | 1 | Visual Story Post-Editing | Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao Huang | https://www.aclweb.org/anthology/P19-1658.pdf |
| 2019 | ACL | # optim-adagrad, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq | 0 | On the Summarization of Consumer Health Questions | Asma Ben Abacha, Dina Demner-Fushman | https://www.aclweb.org/anthology/P19-1215.pdf |
| 2019 | ACL | # reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-seq2seq | 1 | Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks | Ahmad Aghaebrahimian, Mark Cieliebak | https://www.aclweb.org/anthology/P19-1557.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, adv-examp, task-textclass, task-seq2seq | 2 | On the Robustness of Self-Attentive Models | Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh | https://www.aclweb.org/anthology/P19-1147.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, task-textclass, task-seqlab, task-lm | 0 | On-device Structured and Context Partitioned Projection Networks | Sujith Ravi, Zornitsa Kozareva | https://www.aclweb.org/anthology/P19-1368.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, task-lm, task-condlm | 3 | CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication | Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh | https://www.aclweb.org/anthology/P19-1651.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, struct-crf, latent-topic, task-seq2seq | 3 | Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv | https://www.aclweb.org/anthology/P19-1051.pdf |
| 2019 | ACL | # reg-dropout, arch-att, arch-subword, search-beam, task-seq2seq | 2 | Training Neural Machine Translation to Apply Terminology Constraints | Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan | https://www.aclweb.org/anthology/P19-1294.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-spanlab, task-lm | 7 | Multi-hop Reading Comprehension through Question Decomposition and Rescoring | Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/P19-1613.pdf |
| 2019 | ACL | # optim-adam, optim-amsgrad, init-glorot, pool-max, arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq | 0 | Learning to Select, Track, and Generate for Data-to-Text | Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura | https://www.aclweb.org/anthology/P19-1202.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, search-greedy, task-seq2seq, task-tree | 16 | Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems | Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung | https://www.aclweb.org/anthology/P19-1078.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, norm-layer, train-augment, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, search-greedy, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, task-tree, task-graph | 2 | Generating Logical Forms from Graph Representations of Text and Entities | Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun | https://www.aclweb.org/anthology/P19-1010.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, train-augment, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq | 7 | Learning Deep Transformer Models for Machine Translation | Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao | https://www.aclweb.org/anthology/P19-1176.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-lm | 0 | Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models | Xiaolei Huang, Michael J. Paul | https://www.aclweb.org/anthology/P19-1403.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, pool-max, arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-skipthought, latent-vae, loss-svd, task-textclass, task-textpair, task-lm, task-seq2seq | 1 | Learning Compressed Sentence Representations for On-Device Text Processing | Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin | https://www.aclweb.org/anthology/P19-1011.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-word2vec, pre-glove, task-textclass | 2 | From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion | Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim | https://www.aclweb.org/anthology/P19-1094.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, pre-glove, task-tree | 0 | Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader | Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang | https://www.aclweb.org/anthology/P19-1417.pdf |
| 2019 | ACL | # optim-adam, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, task-spanlab, task-lm, task-seq2seq | 5 | ELI5: Long Form Question Answering | Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli | https://www.aclweb.org/anthology/P19-1346.pdf |
| 2019 | ACL | # train-mll, train-transfer, train-augment, arch-att, arch-coverage, loss-nce, task-textclass, task-seq2seq | 4 | CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech | Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, Marco Guerini | https://www.aclweb.org/anthology/P19-1271.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-textclass, task-seqlab | 1 | The Language of Legal and Illegal Activity on the Darknet | Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend | https://www.aclweb.org/anthology/P19-1419.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, search-beam, pre-word2vec, adv-train, latent-vae, task-lm, task-condlm, task-seq2seq | 3 | Retrieval-Enhanced Adversarial Training for Neural Response Generation | Qingfu Zhu, Lei Cui, Wei-Nan Zhang, Furu Wei, Ting Liu | https://www.aclweb.org/anthology/P19-1366.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-seq2seq | 4 | Assessing the Ability of Self-Attention Networks to Learn Word Order | Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu | https://www.aclweb.org/anthology/P19-1354.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-lm, task-condlm, task-seq2seq | 1 | Informative Image Captioning with External Sources of Information | Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut | https://www.aclweb.org/anthology/P19-1650.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-relation | 2 | Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction | Christoph Alt, Marc Hübner, Leonhard Hennig | https://www.aclweb.org/anthology/P19-1134.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm | 20 | What Does BERT Learn about the Structure of Language? | Ganesh Jawahar, Benoît Sagot, Djamé Seddah | https://www.aclweb.org/anthology/P19-1356.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, search-viterbi, pre-skipthought, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq | 2 | Extracting Symptoms and their Status from Clinical Conversations | Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran | https://www.aclweb.org/anthology/P19-1087.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, arch-lstm, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq | 5 | Lattice Transformer for Speech Translation | Pei Zhang, Niyu Ge, Boxing Chen, Kai Fan | https://www.aclweb.org/anthology/P19-1649.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-rnn, arch-att, arch-selfatt, pre-bert, task-spanlab | 8 | Compositional Questions Do Not Necessitate Multi-hop Reasoning | Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer | https://www.aclweb.org/anthology/P19-1416.pdf |
| 2019 | ACL | # arch-att, arch-subword, task-lm, task-seq2seq | 1 | Towards Near-imperceptible Steganographic Text | Falcon Dai, Zheng Cai | https://www.aclweb.org/anthology/P19-1422.pdf |
| 2019 | ACL | # optim-sgd, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, search-beam, adv-examp, task-lm, task-condlm, task-seq2seq | 1 | TIGS: An Inference Algorithm for Text Infilling with Gradient Search | Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv | https://www.aclweb.org/anthology/P19-1406.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass | 1 | Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good | Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang, Zhou Yu | https://www.aclweb.org/anthology/P19-1566.pdf |
| 2019 | ACL | # init-glorot, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-relation | 0 | Embedding Time Expressions for Deep Temporal Ordering Models | Tanya Goyal, Greg Durrett | https://www.aclweb.org/anthology/P19-1433.pdf |
| 2019 | ACL | # reg-dropout, norm-batch, norm-gradient, activ-relu, arch-rnn, arch-lstm, arch-gcnn, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq, meta-arch | 194 | Transformer-XL: Attentive Language Models beyond a Fixed-Length Context | Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le, Ruslan Salakhutdinov | https://www.aclweb.org/anthology/P19-1285.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, pool-max, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-condlm, task-seq2seq | 1 | Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection | Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu | https://www.aclweb.org/anthology/P19-1006.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, search-viterbi, pre-glove, loss-nce, task-seq2seq, task-graph | 5 | Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue | Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba | https://www.aclweb.org/anthology/P19-1080.pdf |
| 2019 | ACL | # reg-dropout, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, adv-train, task-seq2seq | 0 | Reference Network for Neural Machine Translation | Han Fu, Chenghao Liu, Jianling Sun | https://www.aclweb.org/anthology/P19-1287.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-active, arch-att, arch-memo, arch-transformer, pre-word2vec, pre-fasttext, latent-vae, loss-nce, task-seq2seq | 1 | Improving Neural Conversational Models with Entropy-Based Data Filtering | Richárd Csáky, Patrik Purgai, Gábor Recski | https://www.aclweb.org/anthology/P19-1567.pdf |
| 2019 | ACL | # train-mll, pool-max, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, task-textpair, task-extractive, task-seq2seq | 3 | Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization | Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu | https://www.aclweb.org/anthology/P19-1098.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, struct-crf, loss-nce, task-textpair, task-seq2seq | 1 | Optimal Transport-based Alignment of Learned Character Representations for String Similarity | Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum | https://www.aclweb.org/anthology/P19-1592.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seqlab, task-seq2seq | 0 | Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title | Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang, Man Lan | https://www.aclweb.org/anthology/P19-1514.pdf |
| 2019 | ACL | # arch-att, arch-coverage, latent-topic | 3 | A Simple Theoretical Model of Importance for Summarization | Maxime Peyrard | https://www.aclweb.org/anthology/P19-1101.pdf |
| 2019 | ACL | # init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq | 5 | Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations | Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O.K. Li | https://www.aclweb.org/anthology/P19-1121.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-condlm | 1 | Learning to Discover, Ground and Use Words with Segmental Neural Language Models | Kazuya Kawakami, Chris Dyer, Phil Blunsom | https://www.aclweb.org/anthology/P19-1645.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, arch-lstm, arch-cnn, arch-att, arch-memo | 0 | Quantifying Similarity between Relations with Fact Distribution | Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun | https://www.aclweb.org/anthology/P19-1278.pdf |
| 2019 | ACL | # optim-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-beam, task-seqlab, task-lm, task-condlm, task-seq2seq, task-relation | 0 | Generating Responses with a Specific Emotion in Dialog | Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1359.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-transfer, train-active, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq | 0 | Self-Regulated Interactive Sequence-to-Sequence Learning | Julia Kreutzer, Stefan Riezler | https://www.aclweb.org/anthology/P19-1029.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-gru, arch-att, arch-memo, arch-copy, search-greedy, loss-nce, task-seq2seq | 0 | A Working Memory Model for Task-oriented Dialog Response Generation | Xiuyi Chen, Jiaming Xu, Bo Xu | https://www.aclweb.org/anthology/P19-1258.pdf |
| 2019 | ACL | # train-mtl, arch-att, pre-glove, latent-vae, task-textpair | 0 | Evidence-based Trustworthiness | Yi Zhang, Zachary Ives, Dan Roth | https://www.aclweb.org/anthology/P19-1040.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, search-beam, loss-margin, task-seq2seq | 4 | Neural Relation Extraction for Knowledge Base Enrichment | Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang | https://www.aclweb.org/anthology/P19-1023.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, nondif-reinforce, task-extractive, task-lm, task-condlm, task-seq2seq, task-lexicon | 2 | Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts | Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith | https://www.aclweb.org/anthology/P19-1264.pdf |
| 2019 | ACL | # optim-adam, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, task-lm, task-seq2seq, task-tree | 1 | Semantic Parsing with Dual Learning | Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu | https://www.aclweb.org/anthology/P19-1007.pdf |
| 2019 | ACL | # arch-att, arch-transformer, comb-ensemble, search-beam, pre-bert, task-spanlab, task-lm, task-seq2seq | 9 | Synthetic QA Corpora Generation with Roundtrip Consistency | Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins | https://www.aclweb.org/anthology/P19-1620.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-gating, arch-memo, arch-coverage, pre-word2vec, adv-train, latent-vae, task-seq2seq | 0 | Enhancing Topic-to-Essay Generation with External Commonsense Knowledge | Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun | https://www.aclweb.org/anthology/P19-1193.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-cnn, arch-att, arch-bilinear, arch-coverage, task-spanlab, task-lm, task-relation | 2 | Are Red Roses Red? Evaluating Consistency of Question-Answering Models | Marco Tulio Ribeiro, Carlos Guestrin, Sameer Singh | https://www.aclweb.org/anthology/P19-1621.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq | 2 | Exact Hard Monotonic Attention for Character-Level Transduction | Shijie Wu, Ryan Cotterell | https://www.aclweb.org/anthology/P19-1148.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-gru, arch-att, comb-ensemble, search-beam, task-seq2seq | 3 | Learning to Abstract for Memory-augmented Conversational Response Generation | Zhiliang Tian, Wei Bi, Xiaopeng Li, Nevin L. Zhang | https://www.aclweb.org/anthology/P19-1371.pdf |
| 2019 | ACL | # reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, adv-train, task-seqlab | 0 | Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data | Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang | https://www.aclweb.org/anthology/P19-1130.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, norm-gradient, train-mtl, train-mll, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, search-beam, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm | 3 | GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling | Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou | https://www.aclweb.org/anthology/P19-1233.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-gru, arch-att, pre-fasttext, adv-train, task-seq2seq, task-lexicon | 0 | Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders | Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1297.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, search-beam, latent-vae, task-textclass, task-lm, task-seq2seq | 2 | Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking | Masaru Isonuma, Junichiro Mori, Ichiro Sakata | https://www.aclweb.org/anthology/P19-1206.pdf |
| 2019 | ACL | # optim-adam, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq | 4 | Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction | Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita | https://www.aclweb.org/anthology/P19-1225.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-spanlab, task-seq2seq | 2 | Explicit Utilization of General Knowledge in Machine Reading Comprehension | Chao Wang, Hui Jiang | https://www.aclweb.org/anthology/P19-1219.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, latent-vae, task-relation | 0 | Data Programming for Learning Discourse Structure | Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher | https://www.aclweb.org/anthology/P19-1061.pdf |
| 2019 | ACL | # reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, task-textclass, task-seqlab, task-seq2seq | 0 | Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning | Quanzhi Li, Qiong Zhang, Luo Si | https://www.aclweb.org/anthology/P19-1113.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, latent-topic, task-seq2seq | 2 | Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information | Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun | https://www.aclweb.org/anthology/P19-1257.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, arch-att, arch-selfatt, arch-transformer, pre-bert, task-lm | 0 | BERT-based Lexical Substitution | Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou | https://www.aclweb.org/anthology/P19-1328.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-transformer, comb-ensemble, pre-word2vec, task-seqlab, task-lm, task-seq2seq, task-relation | 4 | Open Vocabulary Learning for Neural Chinese Pinyin IME | Zhuosheng Zhang, Yafang Huang, Hai Zhao | https://www.aclweb.org/anthology/P19-1154.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-att, pre-word2vec, pre-glove | 2 | Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection | Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cecile Paris | https://www.aclweb.org/anthology/P19-1108.pdf |
| 2019 | ACL | # optim-adam, optim-amsgrad, init-glorot, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, struct-crf, task-relation, task-tree | 1 | Second-Order Semantic Dependency Parsing with End-to-End Neural Networks | Xinyu Wang, Jingxian Huang, Kewei Tu | https://www.aclweb.org/anthology/P19-1454.pdf |
| 2019 | ACL | # train-mtl, arch-rnn, arch-lstm, arch-att, arch-copy, task-lm, task-seq2seq | 0 | Automated Chess Commentator Powered by Neural Chess Engine | Hongyu Zang, Zhiwei Yu, Xiaojun Wan | https://www.aclweb.org/anthology/P19-1597.pdf |
| 2019 | ACL | # train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, pre-glove, adv-examp, adv-train, task-textclass | 68 | Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency | Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che | https://www.aclweb.org/anthology/P19-1103.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-decay, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-coverage, pre-bert, task-spanlab, task-lm | 7 | Cognitive Graph for Multi-Hop Reading Comprehension at Scale | Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang | https://www.aclweb.org/anthology/P19-1259.pdf |
| 2019 | ACL | # optim-adam, init-glorot, norm-batch, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, task-textclass, task-textpair, task-lm, task-seq2seq | 4 | Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks | Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui | https://www.aclweb.org/anthology/P19-1145.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-condlm, task-seq2seq | 1 | Negative Lexically Constrained Decoding for Paraphrase Generation | Tomoyuki Kajiwara | https://www.aclweb.org/anthology/P19-1607.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-bilinear, task-textclass, task-spanlab, task-seq2seq | 0 | ChID: A Large-scale Chinese IDiom Dataset for Cloze Test | Chujie Zheng, Minlie Huang, Aixin Sun | https://www.aclweb.org/anthology/P19-1075.pdf |
| 2019 | ACL | # train-mtl, train-transfer, arch-lstm, arch-att, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq, task-cloze | 6 | Pretraining Methods for Dialog Context Representation Learning | Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao, Maxine Eskenazi | https://www.aclweb.org/anthology/P19-1373.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, reg-stopping, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-relation, task-tree, task-graph, task-alignment | 4 | Compositional Semantic Parsing across Graphbanks | Matthias Lindemann, Jonas Groschwitz, Alexander Koller | https://www.aclweb.org/anthology/P19-1450.pdf |
| 2019 | ACL | # reg-dropout, reg-worddropout, reg-labelsmooth, arch-att, arch-residual, arch-memo, arch-transformer, comb-ensemble, pre-bert, task-lm, task-seq2seq | 0 | Cross-Sentence Grammatical Error Correction | Shamil Chollampatt, Weiqi Wang, Hwee Tou Ng | https://www.aclweb.org/anthology/P19-1042.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, activ-relu, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-spanlab | 0 | Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts | Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida, Kentaro Torisawa | https://www.aclweb.org/anthology/P19-1414.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, task-seqlab, task-seq2seq, task-relation | 0 | Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation | Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao | https://www.aclweb.org/anthology/P19-1196.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mll, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-tree | 6 | Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network | Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu | https://www.aclweb.org/anthology/P19-1304.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-paravec, pre-bert, adv-examp, task-spanlab | 2 | Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li | https://www.aclweb.org/anthology/P19-1221.pdf |
| 2019 | ACL | # optim-projection, arch-lstm, arch-att, arch-coverage, pre-glove, task-tree | 0 | SParC: Cross-Domain Semantic Parsing in Context | Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev | https://www.aclweb.org/anthology/P19-1443.pdf |
| 2019 | ACL | # train-mll, arch-lstm, arch-att, arch-transformer, comb-ensemble, search-beam, loss-nce, task-seq2seq | 0 | Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study | Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou | https://www.aclweb.org/anthology/P19-1609.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-coverage, search-beam, pre-word2vec, pre-bert, nondif-reinforce, latent-vae, task-seqlab, task-condlm, task-seq2seq, task-relation, task-tree, task-graph | 0 | Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning | Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros | https://www.aclweb.org/anthology/P19-1451.pdf |
| 2019 | ACL | # reg-labelsmooth, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, search-beam, pre-word2vec, task-seqlab, task-seq2seq, task-relation | 0 | Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages | Amrith Krishna, Vishnu Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri, Pawan Goyal | https://www.aclweb.org/anthology/P19-1111.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-decay, train-augment, arch-rnn, arch-att, arch-bilinear, arch-subword, task-textclass, task-lm, task-seq2seq, task-relation | 5 | Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology | Ran Zmigrod, Sebastian J. Mielke, Hanna Wallach, Ryan Cotterell | https://www.aclweb.org/anthology/P19-1161.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-lstm, arch-att, arch-subword, search-greedy, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment | 1 | Unsupervised Pivot Translation for Distant Languages | Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu | https://www.aclweb.org/anthology/P19-1017.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, loss-margin, task-textpair, task-seq2seq, task-relation | 1 | Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks | Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong | https://www.aclweb.org/anthology/P19-1244.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, adv-examp, task-spanlab, task-seq2seq, task-alignment | 1 | Improving the Robustness of Question Answering Systems to Question Paraphrasing | Wee Chung Gan, Hwee Tou Ng | https://www.aclweb.org/anthology/P19-1610.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-textpair, task-seqlab, task-spanlab, task-seq2seq | 2 | Augmenting Neural Networks with First-order Logic | Tao Li, Vivek Srikumar | https://www.aclweb.org/anthology/P19-1028.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, struct-cfg, adv-train, latent-vae, task-lm, task-seq2seq | 0 | Generating Sentences from Disentangled Syntactic and Semantic Spaces | Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/P19-1602.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-worddropout, reg-stopping, train-mtl, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textclass, task-lm, task-condlm | 1 | Neural Legal Judgment Prediction in English | Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras | https://www.aclweb.org/anthology/P19-1424.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-margin, task-lm, task-seq2seq | 0 | Self-Supervised Neural Machine Translation | Dana Ruiter, Cristina España-Bonet, Josef van Genabith | https://www.aclweb.org/anthology/P19-1178.pdf |
| 2019 | ACL | # optim-adam, train-curriculum, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, task-lm, task-relation | 0 | Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems | Jiazhan Feng, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/P19-1370.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-batch, norm-gradient, arch-lstm, arch-att, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq | 2 | Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets | Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1435.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-lm, task-seq2seq | 1 | Knowledge-aware Pronoun Coreference Resolution | Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu | https://www.aclweb.org/anthology/P19-1083.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, comb-ensemble, pre-glove, latent-vae | 3 | Graph Neural Networks with Generated Parameters for Relation Extraction | Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun | https://www.aclweb.org/anthology/P19-1128.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, task-seq2seq | 0 | Argument Generation with Retrieval, Planning, and Realization | Xinyu Hua, Zhe Hu, Lu Wang | https://www.aclweb.org/anthology/P19-1255.pdf |
| 2019 | ACL | # optim-projection, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, search-viterbi, pre-fasttext, pre-bert, struct-crf | 1 | Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates | Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss, Jonas Kuhn | https://www.aclweb.org/anthology/P19-1273.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-elmo, pre-bert, struct-hmm, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze | 0 | HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization | Xingxing Zhang, Furu Wei, Ming Zhou | https://www.aclweb.org/anthology/P19-1499.pdf |
| 2019 | ACL | # optim-adagrad, train-mtl, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, arch-residual, arch-subword, pre-word2vec, pre-elmo | 0 | Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings | Linh The Nguyen, Linh Van Ngo, Khoat Than, Thien Huu Nguyen | https://www.aclweb.org/anthology/P19-1411.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-lm, task-seq2seq | 1 | Attention Is (not) All You Need for Commonsense Reasoning | Tassilo Klein, Moin Nabi | https://www.aclweb.org/anthology/P19-1477.pdf |
| 2019 | ACL | # arch-att, task-lm, task-seq2seq | 0 | Heuristic Authorship Obfuscation | Janek Bevendorff, Martin Potthast, Matthias Hagen, Benno Stein | https://www.aclweb.org/anthology/P19-1104.pdf |
| 2019 | ACL | # optim-amsgrad, init-glorot, reg-dropout, reg-labelsmooth, norm-gradient, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, arch-bilinear, search-beam, task-lm, task-condlm, task-seq2seq | 0 | Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System | Hardik Chauhan, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1540.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-bert, task-textpair, task-lm, task-tree | 37 | Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference | Tom McCoy, Ellie Pavlick, Tal Linzen | https://www.aclweb.org/anthology/P19-1334.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, arch-gru, arch-att, pre-bert, task-seq2seq | 0 | Determining Relative Argument Specificity and Stance for Complex Argumentative Structures | Esin Durmus, Faisal Ladhak, Claire Cardie | https://www.aclweb.org/anthology/P19-1456.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-vae, task-seq2seq | 3 | Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation | Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou | https://www.aclweb.org/anthology/P19-1288.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq | 0 | Using Human Attention to Extract Keyphrase from Microblog Post | Yingyi Zhang, Chengzhi Zhang | https://www.aclweb.org/anthology/P19-1588.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, struct-crf, task-lm, task-tree | 0 | Rationally Reappraising ATIS-based Dialogue Systems | Jingcheng Niu, Gerald Penn | https://www.aclweb.org/anthology/P19-1550.pdf |
| 2019 | ACL | # optim-adam, arch-cnn, arch-att, latent-topic | 0 | Enhancing Air Quality Prediction with Social Media and Natural Language Processing | Jyun-Yu Jiang, Xue Sun, Wei Wang, Sean Young | https://www.aclweb.org/anthology/P19-1251.pdf |
| 2019 | ACL | # train-mll, arch-att, arch-subword, search-beam, pre-fasttext, task-lm, task-seq2seq | 0 | Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation | Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May | https://www.aclweb.org/anthology/P19-1293.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-gradient, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-copy, search-beam, latent-vae, latent-topic, task-textclass, task-seq2seq | 3 | Topic-Aware Neural Keyphrase Generation for Social Media Language | Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi | https://www.aclweb.org/anthology/P19-1240.pdf |
| 2019 | ACL | # optim-adam, init-glorot, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, nondif-reinforce, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Towards Comprehensive Description Generation from Factual Attribute-value Tables | Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui | https://www.aclweb.org/anthology/P19-1600.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, task-extractive, task-seq2seq, task-tree | 1 | Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder | Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko | https://www.aclweb.org/anthology/P19-1407.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-att, arch-coverage, latent-vae, task-lm, task-seq2seq, task-tree | 0 | Syntax-Infused Variational Autoencoder for Text Generation | Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin | https://www.aclweb.org/anthology/P19-1199.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-word2vec, struct-crf, task-seq2seq | 0 | Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts | Rui Xia, Zixiang Ding | https://www.aclweb.org/anthology/P19-1096.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-patience, train-mtl, arch-lstm, arch-att, arch-copy, search-beam, nondif-reinforce, task-lm, task-seq2seq, task-tree, task-graph | 1 | Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization | Hai Ye, Wenjie Li, Lu Wang | https://www.aclweb.org/anthology/P19-1201.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, norm-gradient, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion | Suyoun Kim, Siddharth Dalmia, Florian Metze | https://www.aclweb.org/anthology/P19-1107.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-coverage, comb-ensemble, task-textpair, task-lm, task-seq2seq, task-tree | 3 | An Imitation Learning Approach to Unsupervised Parsing | Bowen Li, Lili Mou, Frank Keller | https://www.aclweb.org/anthology/P19-1338.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, latent-topic, task-textclass, task-seqlab, task-seq2seq, task-graph | 2 | Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model | Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu Sun | https://www.aclweb.org/anthology/P19-1479.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-lm, task-seq2seq, task-tree | 0 | Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models | Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin | https://www.aclweb.org/anthology/P19-1200.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-layer, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-tree | 4 | Decomposable Neural Paraphrase Generation | Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu | https://www.aclweb.org/anthology/P19-1332.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-elmo, pre-bert, task-seqlab | 3 | Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation | Daniel Loureiro, Alípio Jorge | https://www.aclweb.org/anthology/P19-1569.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, pre-fasttext, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Fine-Grained Spoiler Detection from Large-Scale Review Corpora | Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley | https://www.aclweb.org/anthology/P19-1248.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm | 1 | Complex Word Identification as a Sequence Labelling Task | Sian Gooding, Ekaterina Kochmar | https://www.aclweb.org/anthology/P19-1109.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-lstm, arch-att, arch-memo, pre-glove, task-textpair, task-condlm | 10 | Dialogue Natural Language Inference | Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho | https://www.aclweb.org/anthology/P19-1363.pdf |
| 2019 | ACL | # train-mll, arch-att, arch-subword, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon, task-alignment | 3 | Bilingual Lexicon Induction through Unsupervised Machine Translation | Mikel Artetxe, Gorka Labaka, Eneko Agirre | https://www.aclweb.org/anthology/P19-1494.pdf |
| 2019 | ACL | # optim-adam, train-mll, train-transfer, arch-gru, arch-att, arch-memo, arch-transformer, pre-glove, pre-bert, task-spanlab, task-lm, task-seq2seq, task-alignment | 3 | XQA: A Cross-lingual Open-domain Question Answering Dataset | Jiahua Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun | https://www.aclweb.org/anthology/P19-1227.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-bilinear, pre-bert, nondif-minrisk, nondif-reinforce, loss-nce, task-spanlab, task-lm, task-relation | 7 | Entity-Relation Extraction as Multi-Turn Question Answering | Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li | https://www.aclweb.org/anthology/P19-1129.pdf |
| 2019 | ACL | # optim-adam, reg-decay, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-paravec, latent-topic, task-relation | 0 | Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls | Katherine Keith, Amanda Stent | https://www.aclweb.org/anthology/P19-1047.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-att, arch-memo, arch-bilinear | 1 | A2N: Attending to Neighbors for Knowledge Graph Inference | Trapit Bansal, Da-Cheng Juan, Sujith Ravi, Andrew McCallum | https://www.aclweb.org/anthology/P19-1431.pdf |
| 2019 | ACL | # optim-adam, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm, task-tree | 0 | Towards Lossless Encoding of Sentences | Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp | https://www.aclweb.org/anthology/P19-1153.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-att, arch-selfatt, arch-transformer, search-beam, nondif-reinforce, task-seq2seq | 0 | Look Harder: A Neural Machine Translation Model with Hard Attention | Sathish Reddy Indurthi, Insoo Chung, Sangha Kim | https://www.aclweb.org/anthology/P19-1290.pdf |
| 2019 | ACL | # train-mll, train-transfer, pool-max, pool-mean, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-subword, task-textclass, task-seq2seq | 4 | Exploiting Sentential Context for Neural Machine Translation | Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi | https://www.aclweb.org/anthology/P19-1624.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-seqlab | 2 | Robust Representation Learning of Biomedical Names | Minh C. Phan, Aixin Sun, Yi Tay | https://www.aclweb.org/anthology/P19-1317.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-att | 0 | Morphological Irregularity Correlates with Frequency | Shijie Wu, Ryan Cotterell, Timothy O’Donnell | https://www.aclweb.org/anthology/P19-1505.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-gating, pre-glove, struct-crf, adv-train, loss-nce, task-textclass, task-seqlab, task-lm | 0 | Multi-Task Networks with Universe, Group, and Task Feature Learning | Shiva Pentyala, Mengwen Liu, Markus Dreyer | https://www.aclweb.org/anthology/P19-1079.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-gru, arch-bigru, arch-att, pre-word2vec, latent-vae, task-seq2seq | 1 | Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables | Lei Shen, Yang Feng, Haolan Zhan | https://www.aclweb.org/anthology/P19-1549.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, comb-ensemble, task-textclass, task-lm, task-seq2seq | 0 | StRE: Self Attentive Edit Quality Prediction in Wikipedia | Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee | https://www.aclweb.org/anthology/P19-1387.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-energy, search-viterbi, struct-crf, latent-topic, task-seqlab, task-lm | 1 | DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction | Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang | https://www.aclweb.org/anthology/P19-1056.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-transfer, pool-max, pool-kmax, arch-lstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-fasttext, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations | Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander Fabbri, William Hu, Neha Verma, Dragomir Radev | https://www.aclweb.org/anthology/P19-1306.pdf |
| 2019 | ACL | # train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq | 0 | Literary Event Detection | Matthew Sims, Jong Ho Park, David Bamman | https://www.aclweb.org/anthology/P19-1353.pdf |
| 2019 | ACL | # train-mll, train-transfer, train-augment, arch-att, arch-subword, task-lm, task-seq2seq | 2 | Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation | Xinyi Wang, Graham Neubig | https://www.aclweb.org/anthology/P19-1583.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-bert, adv-examp, adv-train, latent-vae, task-textclass, task-textpair, task-seq2seq | 0 | Soft Representation Learning for Sparse Transfer | Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang | https://www.aclweb.org/anthology/P19-1151.pdf |
| 2019 | ACL | # optim-sgd, optim-projection, reg-dropout, reg-stopping, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, pre-bert, task-textclass, task-spanlab, task-lm, task-tree | 5 | Training Neural Response Selection for Task-Oriented Dialogue Systems | Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su | https://www.aclweb.org/anthology/P19-1536.pdf |
| 2019 | ACL | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-condlm | 0 | What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues | Yu Qin, Yi Yang | https://www.aclweb.org/anthology/P19-1038.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-att, task-seq2seq | 1 | Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection | Maria Corkery, Yevgen Matusevych, Sharon Goldwater | https://www.aclweb.org/anthology/P19-1376.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, adv-train, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment | 1 | Domain Adaptation of Neural Machine Translation by Lexicon Induction | Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime Carbonell | https://www.aclweb.org/anthology/P19-1286.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-glove, pre-bert, task-spanlab, task-seq2seq | 4 | Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading | Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao | https://www.aclweb.org/anthology/P19-1539.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, reg-stopping, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-tree | 2 | Unsupervised Question Answering by Cloze Translation | Patrick Lewis, Ludovic Denoyer, Sebastian Riedel | https://www.aclweb.org/anthology/P19-1484.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, task-textpair, task-seq2seq | 1 | ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation | Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng | https://www.aclweb.org/anthology/P19-1362.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, train-mll, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, adv-train | 2 | Adversarial Attention Modeling for Multi-dimensional Emotion Regression | Suyang Zhu, Shoushan Li, Guodong Zhou | https://www.aclweb.org/anthology/P19-1045.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-coverage, arch-subword, search-beam, pre-elmo, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | Generating Question-Answer Hierarchies | Kalpesh Krishna, Mohit Iyyer | https://www.aclweb.org/anthology/P19-1224.pdf |
| 2019 | ACL | # arch-lstm, arch-att, arch-subword, pre-word2vec, task-textclass, task-lm, task-tree | 0 | Large Dataset and Language Model Fun-Tuning for Humor Recognition | Vladislav Blinov, Valeria Bolotova-Baranova, Pavel Braslavski | https://www.aclweb.org/anthology/P19-1394.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-elmo, loss-margin, task-lm, task-condlm, task-seq2seq | 0 | Multi-grained Attention with Object-level Grounding for Visual Question Answering | Pingping Huang, Jianhui Huang, Yuqing Guo, Min Qiao, Yong Zhu | https://www.aclweb.org/anthology/P19-1349.pdf |
| 2019 | ACL | # arch-lstm, arch-att, arch-memo, pre-glove | 2 | Context-aware Embedding for Targeted Aspect-based Sentiment Analysis | Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li, Hejiao Huang | https://www.aclweb.org/anthology/P19-1462.pdf |
| 2019 | ACL | # init-glorot, reg-dropout, train-transfer, arch-att, pre-elmo, loss-cca, task-seq2seq | 2 | Fine-Grained Temporal Relation Extraction | Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White | https://www.aclweb.org/anthology/P19-1280.pdf |
| 2019 | ACL | # reg-dropout, reg-patience, arch-rnn, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textclass, task-lm | 1 | Large-Scale Multi-Label Text Classification on EU Legislation | Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis, Ion Androutsopoulos | https://www.aclweb.org/anthology/P19-1636.pdf |
| 2019 | ACL | # reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, pre-fasttext | 0 | Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays | Zixuan Ke, Hrishikesh Inamdar, Hui Lin, Vincent Ng | https://www.aclweb.org/anthology/P19-1390.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, comb-ensemble, struct-crf | 1 | Cost-sensitive Regularization for Label Confusion-aware Event Detection | Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/P19-1521.pdf |
| 2019 | ACL | # optim-adam, arch-att | 0 | A Spreading Activation Framework for Tracking Conceptual Complexity of Texts | Ioana Hulpuș, Sanja Štajner, Heiner Stuckenschmidt | https://www.aclweb.org/anthology/P19-1377.pdf |
| 2019 | ACL | # reg-dropout, train-mll, arch-lstm, arch-att, task-seq2seq | 1 | Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table | Matthew Shardlow, Raheel Nawaz | https://www.aclweb.org/anthology/P19-1037.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-gating, arch-transformer, comb-ensemble, search-beam, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq | 5 | Multi-style Generative Reading Comprehension | Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita | https://www.aclweb.org/anthology/P19-1220.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, pre-glove, task-textclass, task-condlm | 1 | Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model | Yitao Cai, Huiyu Cai, Xiaojun Wan | https://www.aclweb.org/anthology/P19-1239.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, task-lm, task-seq2seq, task-lexicon | 0 | LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories | Ignacio Iacobacci, Roberto Navigli | https://www.aclweb.org/anthology/P19-1165.pdf |
| 2019 | ACL | # optim-sgd, optim-adagrad, train-mtl, arch-recnn, arch-cnn, arch-att, pre-glove | 1 | Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision | Abiola Obamuyide, Andreas Vlachos | https://www.aclweb.org/anthology/P19-1589.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, pre-glove | 13 | MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations | Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea | https://www.aclweb.org/anthology/P19-1050.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-relation | 3 | Reliability-aware Dynamic Feature Composition for Name Tagging | Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han | https://www.aclweb.org/anthology/P19-1016.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, arch-subword, pre-glove, pre-bert, struct-crf, task-seqlab, task-spanlab, task-lm, task-seq2seq | 1 | A Lightweight Recurrent Network for Sequence Modeling | Biao Zhang, Rico Sennrich | https://www.aclweb.org/anthology/P19-1149.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq, task-relation | 5 | Lattice-Based Transformer Encoder for Neural Machine Translation | Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen | https://www.aclweb.org/anthology/P19-1298.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-att, task-textpair, task-spanlab, task-seq2seq | 0 | HEAD-QA: A Healthcare Dataset for Complex Reasoning | David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/P19-1092.pdf |
| 2019 | ACL | # optim-adam, optim-projection, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, arch-memo, pre-glove, adv-examp, adv-train, task-spanlab | 2 | Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA | Yichen Jiang, Mohit Bansal | https://www.aclweb.org/anthology/P19-1262.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-stopping, train-mtl, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-transformer, search-beam, task-condlm, task-seq2seq | 4 | Distilling Translations with Visual Awareness | Julia Ive, Pranava Madhyastha, Lucia Specia | https://www.aclweb.org/anthology/P19-1653.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-memo, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab | 3 | Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension | Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal | https://www.aclweb.org/anthology/P19-1261.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, reg-labelsmooth, train-mll, train-transfer, arch-att, arch-selfatt, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze | 1 | A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning | Gonçalo M. Correia, André F. T. Martins | https://www.aclweb.org/anthology/P19-1292.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-energy, arch-transformer, search-beam, task-seq2seq | 2 | Self-Attentional Models for Lattice Inputs | Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel | https://www.aclweb.org/anthology/P19-1115.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, reg-patience, reg-decay, arch-att, arch-coverage, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textpair, task-lm | 1 | GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification | Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun | https://www.aclweb.org/anthology/P19-1085.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, norm-batch, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, latent-vae, latent-topic, task-lm | 1 | Open Domain Event Extraction Using Neural Latent Variable Models | Xiao Liu, Heyan Huang, Yue Zhang | https://www.aclweb.org/anthology/P19-1276.pdf |
| 2019 | ACL | # reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, task-seq2seq, task-lexicon | 1 | Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering | Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, Jiajun Chen | https://www.aclweb.org/anthology/P19-1616.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, latent-vae, loss-margin, task-seq2seq | 2 | Latent Variable Model for Multi-modal Translation | Iacer Calixto, Miguel Rios, Wilker Aziz | https://www.aclweb.org/anthology/P19-1642.pdf |
| 2019 | ACL | # optim-adagrad, reg-decay, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, adv-train, task-textpair, task-seqlab | 5 | OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs | Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba | https://www.aclweb.org/anthology/P19-1081.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon | 5 | Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies | Yunsu Kim, Yingbo Gao, Hermann Ney | https://www.aclweb.org/anthology/P19-1120.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-cnn, arch-att, arch-bilinear | 4 | Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs | Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul | https://www.aclweb.org/anthology/P19-1466.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, task-lm, task-seq2seq | 1 | A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer | Chen Wu, Xuancheng Ren, Fuli Luo, Xu Sun | https://www.aclweb.org/anthology/P19-1482.pdf |
| 2019 | ACL | # optim-adagrad, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq | 2 | BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization | Eva Sharma, Chen Li, Lu Wang | https://www.aclweb.org/anthology/P19-1212.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq, task-alignment | 10 | Monotonic Infinite Lookback Attention for Simultaneous Machine Translation | Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel | https://www.aclweb.org/anthology/P19-1126.pdf |
| 2019 | ACL | # optim-adam, arch-att | 2 | A Just and Comprehensive Strategy for Using NLP to Address Online Abuse | David Jurgens, Libby Hemphill, Eshwar Chandrasekharan | https://www.aclweb.org/anthology/P19-1357.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-parallel, arch-lstm, arch-att, comb-ensemble, task-seqlab, task-seq2seq | 0 | FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms | Henry Moss, Andrew Moore, David Leslie, Paul Rayson | https://www.aclweb.org/anthology/P19-1281.pdf |
| 2019 | ACL | # reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-glove, task-textpair | 0 | Recognising Agreement and Disagreement between Stances with Reason Comparing Networks | Chang Xu, Cecile Paris, Surya Nepal, Ross Sparks | https://www.aclweb.org/anthology/P19-1460.pdf |
| 2019 | ACL | # arch-lstm, arch-att, arch-coverage, pre-bert, task-lm, task-seq2seq | 0 | Unsupervised Rewriter for Multi-Sentence Compression | Yang Zhao, Xiaoyu Shen, Wei Bi, Akiko Aizawa | https://www.aclweb.org/anthology/P19-1216.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gnn, arch-att, arch-energy, search-beam, pre-glove, struct-crf, nondif-minrisk, task-textclass, task-seq2seq | 3 | Joint Type Inference on Entities and Relations via Graph Convolutional Networks | Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan | https://www.aclweb.org/anthology/P19-1131.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-att, pre-word2vec, pre-bert, task-condlm, task-tree | 17 | A Corpus for Reasoning about Natural Language Grounded in Photographs | Alane Suhr, Stephanie Zhou, Ally Zhang, Iris Zhang, Huajun Bai, Yoav Artzi | https://www.aclweb.org/anthology/P19-1644.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-stopping, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, struct-crf, struct-cfg, latent-vae, task-seqlab, task-lm, task-graph | 4 | Compound Probabilistic Context-Free Grammars for Grammar Induction | Yoon Kim, Chris Dyer, Alexander Rush | https://www.aclweb.org/anthology/P19-1228.pdf |
| 2019 | ACL | # optim-adam, optim-projection, norm-layer, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-seq2seq | 9 | Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention | Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang | https://www.aclweb.org/anthology/P19-1360.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-att, arch-memo, task-seq2seq | 1 | Learning to Control the Fine-grained Sentiment for Story Ending Generation | Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun | https://www.aclweb.org/anthology/P19-1603.pdf |
| 2019 | ACL | # reg-norm, arch-att, arch-subword, pre-fasttext, pre-glove, latent-vae, latent-topic, task-textclass, task-lm | 0 | Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors | Shoaib Jameel, Steven Schockaert | https://www.aclweb.org/anthology/P19-1321.pdf |
| 2019 | ACL | # arch-att, arch-coverage, pre-word2vec | 0 | Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings | Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann, Alexander Panchenko | https://www.aclweb.org/anthology/P19-1474.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-att, arch-selfatt, arch-transformer, pre-fasttext, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq | 6 | Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation | Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1601.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-att, task-tree | 1 | Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following | David Gaddy, Dan Klein | https://www.aclweb.org/anthology/P19-1188.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, comb-ensemble, pre-glove, task-seq2seq | 1 | A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation | Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin | https://www.aclweb.org/anthology/P19-1256.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, arch-att, pre-glove | 0 | Making Fast Graph-based Algorithms with Graph Metric Embeddings | Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko | https://www.aclweb.org/anthology/P19-1325.pdf |
| 2019 | ACL | # arch-rnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec | 2 | Argument Invention from First Principles | Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim | https://www.aclweb.org/anthology/P19-1097.pdf |
| 2019 | ACL | # arch-lstm, arch-att, comb-ensemble, search-beam, search-viterbi, struct-crf, latent-vae | 1 | We Need to Talk about Standard Splits | Kyle Gorman, Steven Bedrick | https://www.aclweb.org/anthology/P19-1267.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, search-beam, pre-word2vec, task-lm, task-seq2seq | 0 | Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization | Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis | https://www.aclweb.org/anthology/P19-1501.pdf |
| 2019 | ACL | # optim-sgd, arch-lstm, arch-cnn, arch-att, search-viterbi, pre-word2vec, task-textpair, task-condlm | 2 | Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video | Zhenfang Chen, Lin Ma, Wenhan Luo, Kwan-Yee Kenneth Wong | https://www.aclweb.org/anthology/P19-1183.pdf |
| 2019 | ACL | # arch-att, arch-selfatt, pre-elmo, pre-bert | 0 | PTB Graph Parsing with Tree Approximation | Yoshihide Kato, Shigeki Matsubara | https://www.aclweb.org/anthology/P19-1530.pdf |
| 2019 | ACL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-copy, pre-glove, nondif-minrisk, latent-vae, task-seq2seq, task-relation | 7 | Towards Explainable NLP: A Generative Explanation Framework for Text Classification | Hui Liu, Qingyu Yin, William Yang Wang | https://www.aclweb.org/anthology/P19-1560.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-topic, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree | 2 | Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding | Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song | https://www.aclweb.org/anthology/P19-1190.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-fasttext, pre-glove, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation, task-alignment | 1 | Exploring Sequence-to-Sequence Learning in Aspect Term Extraction | Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang | https://www.aclweb.org/anthology/P19-1344.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-seqlab | 0 | Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge | Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng, Ying Shen | https://www.aclweb.org/anthology/P19-1430.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, norm-layer, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert | 8 | Matching the Blanks: Distributional Similarity for Relation Learning | Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski | https://www.aclweb.org/anthology/P19-1279.pdf |
| 2019 | ACL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-lm, task-condlm, task-seq2seq | 0 | Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports | Baoyu Jing, Zeya Wang, Eric Xing | https://www.aclweb.org/anthology/P19-1657.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, task-seq2seq | 2 | Global Optimization under Length Constraint for Neural Text Summarization | Takuya Makino, Tomoya Iwakura, Hiroya Takamura, Manabu Okumura | https://www.aclweb.org/anthology/P19-1099.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-glove, pre-bert, adv-examp, adv-train, task-textpair | 17 | Probing Neural Network Comprehension of Natural Language Arguments | Timothy Niven, Hung-Yu Kao | https://www.aclweb.org/anthology/P19-1459.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, pre-glove, latent-vae, loss-nce, task-seqlab | 0 | Distant Learning for Entity Linking with Automatic Noise Detection | Phong Le, Ivan Titov | https://www.aclweb.org/anthology/P19-1400.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-topic, task-condlm, task-seq2seq | 2 | Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards | Hou Pong Chan, Wang Chen, Lu Wang, Irwin King | https://www.aclweb.org/anthology/P19-1208.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-memo, arch-transformer, pre-glove, pre-skipthought, task-textpair, task-lm, task-seq2seq | 0 | You Only Need Attention to Traverse Trees | Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer | https://www.aclweb.org/anthology/P19-1030.pdf |
| 2019 | ACL | # init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, task-seq2seq, task-relation, task-graph | 2 | Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG | Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi, Marilyn Walker | https://www.aclweb.org/anthology/P19-1596.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, train-mtl, train-mll, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq | 2 | A Multi-Task Architecture on Relevance-based Neural Query Translation | Sheikh Muhammad Sarwar, Hamed Bonab, James Allan | https://www.aclweb.org/anthology/P19-1639.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree | 0 | Reinforced Dynamic Reasoning for Conversational Question Generation | Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun | https://www.aclweb.org/anthology/P19-1203.pdf |
| 2019 | ACL | # train-mtl, arch-lstm, arch-att, arch-coverage, pre-glove, task-textpair, task-spanlab | 0 | Delta Embedding Learning | Xiao Zhang, Ji Wu, Dejing Dou | https://www.aclweb.org/anthology/P19-1322.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm | 3 | Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference | Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme, Alexander Rush | https://www.aclweb.org/anthology/P19-1084.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-relation | 2 | The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers | Agnieszka Falenska, Jonas Kuhn | https://www.aclweb.org/anthology/P19-1012.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, reg-norm, norm-gradient, train-mtl, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, pre-glove, task-seq2seq, task-graph | 0 | Tree Communication Models for Sentiment Analysis | Yuan Zhang, Yue Zhang | https://www.aclweb.org/anthology/P19-1342.pdf |
| 2019 | ACL | # train-transfer, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-relation, task-alignment | 1 | Sentence-Level Agreement for Neural Machine Translation | Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Min Zhang, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1296.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, adv-examp, latent-vae, task-lm, task-condlm, task-seq2seq | 0 | Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation | Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun | https://www.aclweb.org/anthology/P19-1197.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, pool-kmax, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-bilinear, task-seq2seq | 1 | BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization | Kai Wang, Xiaojun Quan, Rui Wang | https://www.aclweb.org/anthology/P19-1207.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-bert | 4 | Proactive Human-Machine Conversation with Explicit Conversation Goal | Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang, Rongzhong Lian, Haifeng Wang | https://www.aclweb.org/anthology/P19-1369.pdf |
| 2019 | ACL | # optim-adam, init-glorot, norm-layer, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Text Categorization by Learning Predominant Sense of Words as Auxiliary Task | Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto | https://www.aclweb.org/anthology/P19-1105.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, latent-topic, task-seq2seq | 3 | Generating Summaries with Topic Templates and Structured Convolutional Decoders | Laura Perez-Beltrachini, Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/P19-1504.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, pool-max, arch-rnn, arch-att, arch-transformer, pre-word2vec, task-context | 0 | DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions | Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1106.pdf |
| 2019 | ACL | # arch-lstm, arch-att, adv-examp, adv-train, task-textclass, task-textpair, task-lm | 2 | Generating Fluent Adversarial Examples for Natural Languages | Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li | https://www.aclweb.org/anthology/P19-1559.pdf |
| 2019 | ACL | # optim-sgd, train-mll, arch-lstm, arch-recnn, arch-att, pre-glove, task-lm | 3 | Modeling Semantic Compositionality with Sememe Knowledge | Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, Maosong Sun | https://www.aclweb.org/anthology/P19-1571.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-bert, struct-crf, task-seqlab, task-lm | 3 | Merge and Label: A Novel Neural Network Architecture for Nested NER | Joseph Fisher, Andreas Vlachos | https://www.aclweb.org/anthology/P19-1585.pdf |
| 2019 | ACL | # init-glorot, reg-dropout, arch-att, task-tree | 0 | Duality of Link Prediction and Entailment Graph Induction | Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman | https://www.aclweb.org/anthology/P19-1468.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, task-textclass, task-extractive, task-lm, task-seq2seq | 11 | Is Attention Interpretable? | Sofia Serrano, Noah A. Smith | https://www.aclweb.org/anthology/P19-1282.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, pre-paravec, pre-bert, task-relation | 1 | Multi-Task Learning for Coherence Modeling | Youmna Farag, Helen Yannakoudakis | https://www.aclweb.org/anthology/P19-1060.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, reg-patience, train-active, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-glove, pre-bert, struct-cfg, adv-train, latent-vae, latent-topic, task-textclass, task-lm | 1 | Variational Pretraining for Semi-supervised Text Classification | Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith | https://www.aclweb.org/anthology/P19-1590.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-att, arch-memo, arch-coverage, pre-bert, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | TWEETQA: A Social Media Focused Question Answering Dataset | Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang | https://www.aclweb.org/anthology/P19-1496.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, reg-stopping, reg-patience, reg-labelsmooth, norm-layer, arch-rnn, arch-att, arch-subword, arch-transformer, search-beam, task-seqlab, task-lm, task-seq2seq, task-alignment | 5 | Revisiting Low-Resource Neural Machine Translation: A Case Study | Rico Sennrich, Biao Zhang | https://www.aclweb.org/anthology/P19-1021.pdf |
| 2019 | ACL | # train-mtl, arch-lstm, arch-cnn, arch-att, task-condlm, task-seq2seq | 0 | Learning to Relate from Captions and Bounding Boxes | Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli | https://www.aclweb.org/anthology/P19-1660.pdf |
| 2019 | ACL | # reg-dropout, reg-stopping, arch-att, pre-word2vec, pre-glove, latent-vae, task-seqlab | 1 | Boosting Entity Linking Performance by Leveraging Unlabeled Documents | Phong Le, Ivan Titov | https://www.aclweb.org/anthology/P19-1187.pdf |
| 2019 | ACL | # reg-decay, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree | 8 | Explain Yourself! Leveraging Language Models for Commonsense Reasoning | Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher | https://www.aclweb.org/anthology/P19-1487.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-cnn, arch-att, comb-ensemble, adv-train, latent-vae, latent-topic, task-textclass, task-seq2seq | 0 | Semi-supervised Stochastic Multi-Domain Learning using Variational Inference | Yitong Li, Timothy Baldwin, Trevor Cohn | https://www.aclweb.org/anthology/P19-1186.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, search-beam, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm | 0 | Multi-task Pairwise Neural Ranking for Hashtag Segmentation | Mounica Maddela, Wei Xu, Daniel Preoţiuc-Pietro | https://www.aclweb.org/anthology/P19-1242.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, nondif-reinforce, task-spanlab | 1 | Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data | Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang | https://www.aclweb.org/anthology/P19-1434.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-word2vec, task-seqlab, task-seq2seq | 0 | Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation | Cao Liu, Shizhu He, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/P19-1367.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-bert, task-relation | 0 | Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures | Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou | https://www.aclweb.org/anthology/P19-1432.pdf |
| 2019 | ACL | # arch-rnn, arch-att, pre-word2vec, pre-fasttext, pre-glove, task-textclass, task-lm, task-condlm, task-seq2seq | 3 | VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions | Pranava Madhyastha, Josiah Wang, Lucia Specia | https://www.aclweb.org/anthology/P19-1654.pdf |
| 2019 | ACL | # optim-adam, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, task-seq2seq | 5 | Scoring Sentence Singletons and Pairs for Abstractive Summarization | Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu | https://www.aclweb.org/anthology/P19-1209.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq | 1 | Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation | Benjamin Heinzerling, Michael Strube | https://www.aclweb.org/anthology/P19-1027.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, task-seq2seq, task-relation, task-tree, task-graph | 0 | SemBleu: A Robust Metric for AMR Parsing Evaluation | Linfeng Song, Daniel Gildea | https://www.aclweb.org/anthology/P19-1446.pdf |
| 2019 | ACL | # init-glorot, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-glove, pre-elmo, task-textclass, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation | 5 | Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks | Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha Talukdar | https://www.aclweb.org/anthology/P19-1320.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, pre-word2vec, task-extractive, task-seq2seq | 0 | This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation | Rui Zhang, Joel Tetreault | https://www.aclweb.org/anthology/P19-1043.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-norm, reg-labelsmooth, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-seqlab, task-seq2seq, task-relation | 3 | Leveraging Local and Global Patterns for Self-Attention Networks | Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao | https://www.aclweb.org/anthology/P19-1295.pdf |
| 2019 | ACL | # optim-adam, arch-att, arch-selfatt, arch-transformer, pre-bert, task-textpair, task-seqlab, task-graph | 4 | Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction | Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly | https://www.aclweb.org/anthology/P19-1513.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-elmo, loss-nce, task-seqlab | 0 | Implicit Discourse Relation Identification for Open-domain Dialogues | Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, Wen Cui, Marilyn Walker | https://www.aclweb.org/anthology/P19-1065.pdf |
| 2019 | ACL | # optim-adam, norm-layer, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq | 1 | A Compact and Language-Sensitive Multilingual Translation Method | Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu, Chengqing Zong | https://www.aclweb.org/anthology/P19-1117.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-greedy, search-beam, pre-glove, task-condlm, task-seq2seq, task-tree | 2 | Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation | Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko | https://www.aclweb.org/anthology/P19-1655.pdf |
| 2019 | ACL | # train-mtl, pool-mean, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-textclass, task-textpair, task-extractive, task-seq2seq | 3 | Searching for Effective Neural Extractive Summarization: What Works and What’s Next | Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1100.pdf |
| 2019 | ACL | # reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, search-beam, task-seq2seq | 0 | Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation | Bram Bulte, Arda Tezcan | https://www.aclweb.org/anthology/P19-1175.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-transformer, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq | 1 | Coreference Resolution with Entity Equalization | Ben Kantor, Amir Globerson | https://www.aclweb.org/anthology/P19-1066.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, struct-crf, task-seq2seq, task-tree | 2 | Robust Zero-Shot Cross-Domain Slot Filling with Example Values | Darsh Shah, Raghav Gupta, Amir Fayazi, Dilek Hakkani-Tur | https://www.aclweb.org/anthology/P19-1547.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, search-beam, pre-glove, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 0 | A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching | Jihun Choi, Taeuk Kim, Sang-goo Lee | https://www.aclweb.org/anthology/P19-1469.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree | 1 | Improving Multi-turn Dialogue Modelling with Utterance ReWriter | Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou | https://www.aclweb.org/anthology/P19-1003.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-augment, pool-max, pool-mean, arch-rnn, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, search-greedy, search-beam, pre-glove, pre-bert, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 7 | AMR Parsing as Sequence-to-Graph Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/P19-1009.pdf |
| 2019 | ACL | # optim-adam, optim-projection, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-bert | 5 | SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking | Hwaran Lee, Jinsik Lee, Tae-Yoon Kim | https://www.aclweb.org/anthology/P19-1546.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, task-textpair, task-seq2seq, task-relation, task-tree | 0 | An Empirical Study of Span Representations in Argumentation Structure Parsing | Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui | https://www.aclweb.org/anthology/P19-1464.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, adv-train, latent-vae | 1 | ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification | Wei Jia, Dai Dai, Xinyan Xiao, Hua Wu | https://www.aclweb.org/anthology/P19-1135.pdf |
| 2019 | ACL | # reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-bert, struct-crf, latent-topic, task-seqlab, task-relation | 2 | Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision | Hongliang Dai, Yangqiu Song | https://www.aclweb.org/anthology/P19-1520.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, reg-stopping, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, task-lm | 13 | COMET: Commonsense Transformers for Automatic Knowledge Graph Construction | Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi | https://www.aclweb.org/anthology/P19-1470.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-cloze | 116 | Multi-Task Deep Neural Networks for Natural Language Understanding | Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao | https://www.aclweb.org/anthology/P19-1441.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-seq2seq, task-relation | 1 | What Kind of Language Is Hard to Language-Model? | Sebastian J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner | https://www.aclweb.org/anthology/P19-1491.pdf |
| 2019 | ACL | # train-transfer, arch-lstm, arch-bilstm, arch-att, pre-elmo, pre-bert, latent-topic, task-lm | 2 | Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View | Renfen Hu, Shen Li, Shichen Liang | https://www.aclweb.org/anthology/P19-1379.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-seq2seq | 1 | Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References | Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/P19-1372.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-lm | 0 | Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text | Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake, Marius Kloft | https://www.aclweb.org/anthology/P19-1398.pdf |
| 2019 | ACL | # reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-subword, nondif-minrisk, loss-margin, task-textpair, task-seq2seq | 4 | Beyond BLEU:Training Neural Machine Translation with Semantic Similarity | John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig | https://www.aclweb.org/anthology/P19-1427.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, reg-dropout, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-beam, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-seq2seq | 4 | Multi-Hop Paragraph Retrieval for Open-Domain Question Answering | Yair Feldman, Ran El-Yaniv | https://www.aclweb.org/anthology/P19-1222.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, struct-crf, adv-examp, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq | 5 | Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition | Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok | https://www.aclweb.org/anthology/P19-1336.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mll, train-augment, arch-att, arch-selfatt, arch-residual, arch-transformer, struct-hmm, adv-train, latent-vae, task-textclass, task-lm, task-seq2seq | 4 | Unsupervised Paraphrasing without Translation | Aurko Roy, David Grangier | https://www.aclweb.org/anthology/P19-1605.pdf |
| 2019 | ACL | # reg-stopping, train-transfer, arch-rnn, arch-att, pre-glove, pre-bert, task-spanlab, task-lm, task-tree | 12 | MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension | Alon Talmor, Jonathan Berant | https://www.aclweb.org/anthology/P19-1485.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-word2vec, pre-elmo, pre-bert, task-textclass | 4 | One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues | Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/P19-1001.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze | 27 | ERNIE: Enhanced Language Representation with Informative Entities | Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu | https://www.aclweb.org/anthology/P19-1139.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-labelsmooth, arch-rnn, arch-att, arch-residual, arch-subword, arch-transformer, task-lm, task-seq2seq | 2 | Shared-Private Bilingual Word Embeddings for Neural Machine Translation | Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu | https://www.aclweb.org/anthology/P19-1352.pdf |
| 2019 | ACL | # train-mll, train-transfer, train-augment, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, loss-svd, task-seqlab, task-lm, task-seq2seq, task-lexicon | 1 | Generalized Data Augmentation for Low-Resource Translation | Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/P19-1579.pdf |
| 2019 | ACL | # arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-fasttext, pre-bert, task-seq2seq | 2 | Generating Diverse Translations with Sentence Codes | Raphael Shu, Hideki Nakayama, Kyunghyun Cho | https://www.aclweb.org/anthology/P19-1177.pdf |
| 2019 | ACL | # arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-copy, arch-bilinear, arch-coverage, search-beam, task-lm, task-condlm, task-seq2seq | 2 | PaperRobot: Incremental Draft Generation of Scientific Ideas | Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan | https://www.aclweb.org/anthology/P19-1191.pdf |
| 2019 | ACL | # optim-adam, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, task-textclass, task-seqlab | 1 | Incremental Learning from Scratch for Task-Oriented Dialogue Systems | Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li | https://www.aclweb.org/anthology/P19-1361.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, search-viterbi, pre-elmo, task-seqlab, task-lm, task-relation, task-tree | 1 | Semi-supervised Domain Adaptation for Dependency Parsing | Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si | https://www.aclweb.org/anthology/P19-1229.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, task-spanlab, task-seq2seq | 1 | Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension | Yimeng Zhuang, Huadong Wang | https://www.aclweb.org/anthology/P19-1218.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, adv-examp, adv-train, task-textclass, task-seq2seq | 1 | Effective Adversarial Regularization for Neural Machine Translation | Motoki Sato, Jun Suzuki, Shun Kiyono | https://www.aclweb.org/anthology/P19-1020.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, search-beam, pre-glove, pre-elmo, task-spanlab | 2 | Exploiting Explicit Paths for Multi-hop Reading Comprehension | Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark | https://www.aclweb.org/anthology/P19-1263.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, task-textclass, task-seq2seq | 0 | Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis | Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo | https://www.aclweb.org/anthology/P19-1053.pdf |
| 2019 | ACL | # arch-att, arch-copy, arch-coverage, search-beam, nondif-minrisk, task-textpair, task-seq2seq, task-tree | 1 | Reranking for Neural Semantic Parsing | Pengcheng Yin, Graham Neubig | https://www.aclweb.org/anthology/P19-1447.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-copy, pre-glove, task-lm, task-seq2seq | 4 | EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing | Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/P19-1331.pdf |
| 2019 | ACL | # arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, pre-bert, latent-topic, task-lm | 0 | Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements | Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory DeAngelo, Elena Eneva, Andy E. Fano | https://www.aclweb.org/anthology/P19-1114.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-memo, arch-transformer, task-lm, task-seq2seq, task-alignment, meta-arch | 1 | Improving Neural Language Models by Segmenting, Attending, and Predicting the Future | Hongyin Luo, Lan Jiang, Yonatan Belinkov, James Glass | https://www.aclweb.org/anthology/P19-1144.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-labelsmooth, train-transfer, activ-relu, pool-max, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-bert, latent-topic, task-textpair, task-lm, task-seq2seq | 2 | Zero-shot Word Sense Disambiguation using Sense Definition Embeddings | Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar | https://www.aclweb.org/anthology/P19-1568.pdf |
| 2019 | ACL | # optim-adam, reg-norm, train-mtl, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-lm | 0 | EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition | Subhradeep Kayal, George Tsatsaronis | https://www.aclweb.org/anthology/P19-1445.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze | 2 | Exploring Pre-trained Language Models for Event Extraction and Generation | Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li | https://www.aclweb.org/anthology/P19-1522.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-transformer, task-condlm, task-seq2seq | 0 | Expressing Visual Relationships via Language | Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal | https://www.aclweb.org/anthology/P19-1182.pdf |
| 2019 | ACL | # train-transfer, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq | 5 | Strategies for Structuring Story Generation | Angela Fan, Mike Lewis, Yann Dauphin | https://www.aclweb.org/anthology/P19-1254.pdf |
| 2019 | ACL | # init-glorot, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-energy, comb-ensemble, pre-fasttext, pre-bert, struct-crf, task-relation | 0 | An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing | Zhisong Zhang, Xuezhe Ma, Eduard Hovy | https://www.aclweb.org/anthology/P19-1562.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm, task-cloze | 3 | Classification and Clustering of Arguments with Contextualized Word Embeddings | Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych | https://www.aclweb.org/anthology/P19-1054.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-bert, struct-crf, task-spanlab, task-lm | 0 | Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis | Junyi Du, He Jiang, Jiaming Shen, Xiang Ren | https://www.aclweb.org/anthology/P19-1420.pdf |
| 2019 | ACL | # optim-adam, arch-cnn, arch-att, arch-memo | 1 | NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language | Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel | https://www.aclweb.org/anthology/P19-1618.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, pool-max, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-bert, struct-crf, task-seqlab, task-spanlab | 6 | Dynamically Fused Graph Network for Multi-hop Reasoning | Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu | https://www.aclweb.org/anthology/P19-1617.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, task-condlm, task-seq2seq | 6 | Attention Guided Graph Convolutional Networks for Relation Extraction | Zhijiang Guo, Yan Zhang, Wei Lu | https://www.aclweb.org/anthology/P19-1024.pdf |
| 2019 | ACL | # optim-sgd, init-glorot, train-mtl, train-transfer, arch-att, comb-ensemble, adv-train, task-textclass | 0 | Learning Transferable Feature Representations Using Neural Networks | Himanshu Sharad Bhatt, Shourya Roy, Arun Rajkumar, Sriranjani Ramakrishnan | https://www.aclweb.org/anthology/P19-1404.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, arch-selfatt, struct-crf, nondif-reinforce, task-seqlab, task-condlm | 0 | A Prism Module for Semantic Disentanglement in Name Entity Recognition | Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li | https://www.aclweb.org/anthology/P19-1532.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-gradient, train-mtl, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-gating, task-seq2seq, task-relation, task-tree | 3 | Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language | Grzegorz Chrupała | https://www.aclweb.org/anthology/P19-1647.pdf |
| 2019 | ACL | # reg-dropout, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-alignment | 0 | Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach | Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun | https://www.aclweb.org/anthology/P19-1623.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, latent-vae, task-lm, task-seq2seq | 1 | Boosting Dialog Response Generation | Wenchao Du, Alan W Black | https://www.aclweb.org/anthology/P19-1005.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-seqlab, task-lm, task-seq2seq, task-relation, meta-arch | 76 | Energy and Policy Considerations for Deep Learning in NLP | Emma Strubell, Ananya Ganesh, Andrew McCallum | https://www.aclweb.org/anthology/P19-1355.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-norm, arch-cnn, arch-att, arch-energy, pre-glove | 0 | Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses | Étienne Simon, Vincent Guigue, Benjamin Piwowarski | https://www.aclweb.org/anthology/P19-1133.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-glove, task-textpair | 1 | Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification | Zhi-Xiu Ye, Zhen-Hua Ling | https://www.aclweb.org/anthology/P19-1277.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, reg-patience, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-gating, search-viterbi, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq | 1 | Sentiment Tagging with Partial Labels using Modular Architectures | Xiao Zhang, Dan Goldwasser | https://www.aclweb.org/anthology/P19-1055.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, struct-crf, task-lm, task-seq2seq | 1 | Confusionset-guided Pointer Networks for Chinese Spelling Check | Dingmin Wang, Yi Tay, Li Zhong | https://www.aclweb.org/anthology/P19-1578.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-gru, arch-att, comb-ensemble, task-lm, task-seq2seq | 2 | Dual Supervised Learning for Natural Language Understanding and Generation | Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen | https://www.aclweb.org/anthology/P19-1545.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, adv-train, task-spanlab, task-lm, task-seq2seq | 0 | Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums | Zi Chai, Xinyu Xing, Xiaojun Wan, Bo Huang | https://www.aclweb.org/anthology/P19-1497.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-bilinear, pre-glove, pre-elmo, pre-bert, struct-crf, task-seq2seq, task-relation | 3 | A Unified Linear-Time Framework for Sentence-Level Discourse Parsing | Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, M Saiful Bari | https://www.aclweb.org/anthology/P19-1410.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, task-seq2seq, task-tree | 5 | Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing | Ben Bogin, Jonathan Berant, Matt Gardner | https://www.aclweb.org/anthology/P19-1448.pdf |
| 2019 | ACL | # optim-adagrad, init-glorot, norm-gradient, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-glove, task-textclass, task-seq2seq | 1 | Evaluating Discourse in Structured Text Representations | Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk | https://www.aclweb.org/anthology/P19-1062.pdf |
| 2019 | ACL | # optim-projection, train-mll, train-transfer, train-augment, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-subword, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation | 4 | Choosing Transfer Languages for Cross-Lingual Learning | Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig | https://www.aclweb.org/anthology/P19-1301.pdf |
| 2019 | ACL | # train-mll, arch-lstm, arch-att, arch-coverage, struct-crf, adv-train, task-seq2seq, task-alignment | 0 | Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text | Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti | https://www.aclweb.org/anthology/P19-1343.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, task-spanlab, task-lm, task-seq2seq | 1 | Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling | Yifan Gao, Piji Li, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/P19-1480.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-gru, arch-att, arch-memo, search-beam, latent-vae, task-textclass, task-seq2seq | 1 | Fine-Grained Sentence Functions for Short-Text Conversation | Wei Bi, Jun Gao, Xiaojiang Liu, Shuming Shi | https://www.aclweb.org/anthology/P19-1389.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, reg-patience, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-textpair, task-lm, task-seq2seq | 7 | Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study | Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio | https://www.aclweb.org/anthology/P19-1004.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, reg-dropout, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-paravec, task-seq2seq | 9 | Hierarchical Transformers for Multi-Document Summarization | Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/P19-1500.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq | 6 | When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion | Elena Voita, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/P19-1116.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, struct-crf, task-seq2seq, task-relation, task-tree | 1 | How to Best Use Syntax in Semantic Role Labelling | Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang | https://www.aclweb.org/anthology/P19-1529.pdf |
| 2019 | ACL | # train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-glove, pre-bert, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | Self-Attention Architectures for Answer-Agnostic Neural Question Generation | Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano | https://www.aclweb.org/anthology/P19-1604.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq | 11 | Adaptive Attention Span in Transformers | Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin | https://www.aclweb.org/anthology/P19-1032.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-paravec, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-seq2seq, task-tree, task-lexicon, task-alignment | 3 | Multi-Source Cross-Lingual Model Transfer: Learning What to Share | Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie | https://www.aclweb.org/anthology/P19-1299.pdf |
| 2019 | ACL | # arch-gru, arch-att, arch-copy, task-seq2seq | 2 | Unsupervised Neural Text Simplification | Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/P19-1198.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-elmo, task-lm, task-relation | 1 | Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution | Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan | https://www.aclweb.org/anthology/P19-1409.pdf |
| 2019 | EMNLP | # arch-att, arch-selfatt, latent-topic, task-lm | 0 | CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums | Ella Rabinovich, Masih Sultani, Suzanne Stevenson | https://www.aclweb.org/anthology/D19-1484.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-seq2seq | 0 | Modelling the interplay of metaphor and emotion through multitask learning | Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova | https://www.aclweb.org/anthology/D19-1227.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-textpair, task-condlm, task-seq2seq | 0 | YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension | Weiying Wang, Yongcheng Wang, Shizhe Chen, Qin Jin | https://www.aclweb.org/anthology/D19-1517.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, search-beam, pre-glove, pre-bert, task-lm, task-seq2seq | 0 | Robust Navigation with Language Pretraining and Stochastic Sampling | Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi | https://www.aclweb.org/anthology/D19-1159.pdf |
| 2019 | EMNLP | # train-active, arch-att, latent-vae, loss-nce, task-tree | 0 | Learning to Ask for Conversational Machine Learning | Shashank Srivastava, Igor Labutov, Tom Mitchell | https://www.aclweb.org/anthology/D19-1426.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-elmo, pre-bert, adv-examp, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models | Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh | https://www.aclweb.org/anthology/D19-3002.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-spanlab | 6 | A Span-Extraction Dataset for Chinese Machine Reading Comprehension | Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu | https://www.aclweb.org/anthology/D19-1600.pdf |
| 2019 | EMNLP | # arch-att, pre-bert, loss-nce, task-textpair, task-lm | 0 | WIQA: A dataset for “What if...” reasoning over procedural text | Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut | https://www.aclweb.org/anthology/D19-1629.pdf |
| 2019 | EMNLP | # optim-sgd, optim-projection, reg-dropout, reg-stopping, norm-layer, train-mll, train-transfer, train-parallel, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq | 1 | Simple, Scalable Adaptation for Neural Machine Translation | Ankur Bapna, Orhan Firat | https://www.aclweb.org/anthology/D19-1165.pdf |
| 2019 | EMNLP | # init-glorot, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-seq2seq | 0 | Parallel Iterative Edit Models for Local Sequence Transduction | Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla | https://www.aclweb.org/anthology/D19-1435.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Bias and Fairness in Natural Language Processing | Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-mll, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq | 1 | NCLS: Neural Cross-Lingual Summarization | Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong | https://www.aclweb.org/anthology/D19-1302.pdf |
| 2019 | EMNLP | # arch-att | 0 | Modelling Stopping Criteria for Search Results using Poisson Processes | Alison Sneyd, Mark Stevenson | https://www.aclweb.org/anthology/D19-1351.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce, task-textclass, task-seq2seq, task-tree | 0 | Automatically Learning Data Augmentation Policies for Dialogue Tasks | Tong Niu, Mohit Bansal | https://www.aclweb.org/anthology/D19-1132.pdf |
| 2019 | EMNLP | # train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq | 0 | “Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer | Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran | https://www.aclweb.org/anthology/D19-1322.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-att, arch-coverage, arch-transformer, task-seq2seq | 3 | Dynamic Past and Future for Neural Machine Translation | Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/D19-1086.pdf |
| 2019 | EMNLP | # train-mtl, train-transfer, arch-rnn, arch-att, arch-subword, arch-transformer, pre-skipthought, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | Improving Neural Story Generation by Targeted Common Sense Grounding | Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley, Garrison Cottrell | https://www.aclweb.org/anthology/D19-1615.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, comb-ensemble, pre-bert, adv-examp, task-spanlab | 0 | QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization | Yi-Ting Yeh, Yun-Nung Chen | https://www.aclweb.org/anthology/D19-1333.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-relation, task-tree | 0 | Syntax-aware Multilingual Semantic Role Labeling | Shexia He, Zuchao Li, Hai Zhao | https://www.aclweb.org/anthology/D19-1538.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, task-textclass | 0 | Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning | Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qiong Zhang | https://www.aclweb.org/anthology/D19-1019.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, pool-max, arch-gru, arch-gnn, arch-cnn, arch-att, arch-coverage, task-seq2seq | 0 | Learning to Update Knowledge Graphs by Reading News | Jizhi Tang, Yansong Feng, Dongyan Zhao | https://www.aclweb.org/anthology/D19-1265.pdf |
| 2019 | EMNLP | # reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, pre-glove, task-textclass | 0 | Improving Relation Extraction with Knowledge-attention | Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li | https://www.aclweb.org/anthology/D19-1022.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, search-beam, task-spanlab, task-lm, task-seq2seq | 0 | Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue | Chenguang Zhu, Michael Zeng, Xuedong Huang | https://www.aclweb.org/anthology/D19-1123.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-patience, reg-decay, arch-att, arch-coverage, arch-subword, pre-bert, task-seqlab | 13 | Fine-Grained Analysis of Propaganda in News Article | Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov | https://www.aclweb.org/anthology/D19-1565.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-gru, arch-att, arch-copy, search-greedy, task-textpair, task-seq2seq | 0 | Enhancing Neural Data-To-Text Generation Models with External Background Knowledge | Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin | https://www.aclweb.org/anthology/D19-1299.pdf |
| 2019 | EMNLP | # activ-relu, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-relation, task-tree | 1 | Dependency-Guided LSTM-CRF for Named Entity Recognition | Zhanming Jie, Wei Lu | https://www.aclweb.org/anthology/D19-1399.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab | 0 | Answering questions by learning to rank - Learning to rank by answering questions | George Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti | https://www.aclweb.org/anthology/D19-1256.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, comb-ensemble, pre-bert, task-lm | 6 | Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval | Zeynep Akkalyoncu Yilmaz, Wei Yang, Haotian Zhang, Jimmy Lin | https://www.aclweb.org/anthology/D19-1352.pdf |
| 2019 | EMNLP | # optim-adam, reg-norm, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Cross-Cultural Transfer Learning for Text Classification | Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky | https://www.aclweb.org/anthology/D19-1400.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, pre-word2vec, pre-fasttext, pre-glove, latent-topic, task-textclass, task-lm | 0 | Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention | Lei Cao, Huijun Zhang, Ling Feng, Zihan Wei, Xin Wang, Ningyun Li, Xiaohao He | https://www.aclweb.org/anthology/D19-1181.pdf |
| 2019 | EMNLP | # pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-skipthought, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze | 0 | UER: An Open-Source Toolkit for Pre-training Models | Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du | https://www.aclweb.org/anthology/D19-3041.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment | 0 | Explicit Cross-lingual Pre-training for Unsupervised Machine Translation | Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma | https://www.aclweb.org/anthology/D19-1071.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, search-viterbi, nondif-reinforce, latent-vae, task-seq2seq | 0 | Low-Resource Response Generation with Template Prior | Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li | https://www.aclweb.org/anthology/D19-1197.pdf |
| 2019 | EMNLP | # reg-dropout, pool-max, arch-lstm, arch-att, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq | 0 | Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching | Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin | https://www.aclweb.org/anthology/D19-1626.pdf |
| 2019 | EMNLP | # arch-rnn, arch-gru, arch-att, arch-transformer, pre-bert, task-textclass, task-lm | 1 | Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop | Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil | https://www.aclweb.org/anthology/D19-1481.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-att, arch-coverage, pre-bert, task-lm, task-condlm, task-seq2seq | 0 | VizSeq: a visual analysis toolkit for text generation tasks | Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu | https://www.aclweb.org/anthology/D19-3043.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, arch-cnn, arch-att, arch-selfatt, pre-glove, adv-examp, adv-train, task-textclass, task-seqlab, task-lm | 2 | Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation | Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli | https://www.aclweb.org/anthology/D19-1419.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, task-condlm | 5 | Dual Attention Networks for Visual Reference Resolution in Visual Dialog | Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang | https://www.aclweb.org/anthology/D19-1209.pdf |
| 2019 | EMNLP | # train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-subword, task-lm, task-seq2seq | 0 | Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja | Kang Min Yoo, Taeuk Kim, Sang-goo Lee | https://www.aclweb.org/anthology/D19-1358.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, reg-decay, reg-labelsmooth, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-lm, task-seq2seq, task-alignment | 0 | Jointly Learning to Align and Translate with Transformer Models | Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, Matthias Paulik | https://www.aclweb.org/anthology/D19-1453.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, task-seq2seq | 0 | Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training | Alham Fikri Aji, Kenneth Heafield, Nikolay Bogoychev | https://www.aclweb.org/anthology/D19-1373.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, search-beam, pre-bert, task-spanlab, task-lm, task-seq2seq | 0 | Restoring ancient text using deep learning: a case study on Greek epigraphy | Yannis Assael, Thea Sommerschield, Jonathan Prag | https://www.aclweb.org/anthology/D19-1668.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, struct-crf, task-lm, task-seq2seq | 0 | A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis | Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou | https://www.aclweb.org/anthology/D19-1559.pdf |
| 2019 | EMNLP | # arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Weakly Supervised Attention Networks for Entity Recognition | Barun Patra, Joel Ruben Antony Moniz | https://www.aclweb.org/anthology/D19-1652.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-elmo, pre-bert, loss-svd, task-lm | 0 | Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation | Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu | https://www.aclweb.org/anthology/D19-1640.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-coverage, pre-word2vec, struct-crf, task-seq2seq | 0 | A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis | Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao | https://www.aclweb.org/anthology/D19-1563.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-lstm, arch-att, adv-train, task-lm | 0 | Pun-GAN: Generative Adversarial Network for Pun Generation | Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun | https://www.aclweb.org/anthology/D19-1336.pdf |
| 2019 | EMNLP | # init-glorot, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 2 | Denoising based Sequence-to-Sequence Pre-training for Text Generation | Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu | https://www.aclweb.org/anthology/D19-1412.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, search-greedy, search-beam, pre-word2vec, pre-glove, loss-svd, task-seq2seq | 0 | Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning | Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang | https://www.aclweb.org/anthology/D19-1207.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-gating, arch-coverage, pre-fasttext, pre-bert, task-spanlab, task-lm | 1 | Interactive Language Learning by Question Answering | Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler | https://www.aclweb.org/anthology/D19-1280.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-bilinear, pre-word2vec, pre-elmo, task-seq2seq, task-relation | 0 | Hierarchical Pointer Net Parsing | Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han, Lidong Bing | https://www.aclweb.org/anthology/D19-1093.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq | 0 | Encoders Help You Disambiguate Word Senses in Neural Machine Translation | Gongbo Tang, Rico Sennrich, Joakim Nivre | https://www.aclweb.org/anthology/D19-1149.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, struct-crf, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Entity Projection via Machine Translation for Cross-Lingual NER | Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton | https://www.aclweb.org/anthology/D19-1100.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-gating, adv-train, task-lm, task-condlm, task-seq2seq | 0 | Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation | Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei | https://www.aclweb.org/anthology/D19-1409.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-max, arch-lstm, arch-att, arch-selfatt, pre-glove, task-spanlab | 0 | Ranking and Sampling in Open-Domain Question Answering | Yanfu Xu, Zheng Lin, Yuanxin Liu, Rui Liu, Weiping Wang, Dan Meng | https://www.aclweb.org/anthology/D19-1245.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, task-lm, task-tree | 0 | Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog | Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1163.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, pre-fasttext, task-textclass | 0 | PRADO: Projection Attention Networks for Document Classification On-Device | Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva | https://www.aclweb.org/anthology/D19-1506.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-att, task-textpair, task-tree | 1 | Posing Fair Generalization Tasks for Natural Language Inference | Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts | https://www.aclweb.org/anthology/D19-1456.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-copy, arch-coverage, pre-word2vec, latent-vae, task-lm, task-seq2seq | 0 | Unsupervised Context Rewriting for Open Domain Conversation | Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu, Jingsong Yu | https://www.aclweb.org/anthology/D19-1192.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, loss-nce, task-textpair, task-alignment | 0 | A Gated Self-attention Memory Network for Answer Selection | Tuan Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara | https://www.aclweb.org/anthology/D19-1610.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, arch-rnn, arch-att, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, loss-svd, task-lm, task-seq2seq, task-relation, task-alignment | 3 | Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing | Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu, Ting Liu | https://www.aclweb.org/anthology/D19-1575.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-patience, arch-rnn, arch-gru, arch-att, arch-copy, search-beam, task-seq2seq | 0 | Modeling Multi-Action Policy for Task-Oriented Dialogues | Lei Shu, Hu Xu, Bing Liu, Piero Molino | https://www.aclweb.org/anthology/D19-1130.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-recnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq | 2 | Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons | Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu | https://www.aclweb.org/anthology/D19-1135.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo | 0 | Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree | Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu | https://www.aclweb.org/anthology/D19-1569.pdf |
| 2019 | EMNLP | # optim-adagrad, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-bilinear, pre-glove, task-textclass, task-relation, task-tree | 0 | Event Representation Learning Enhanced with External Commonsense Knowledge | Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan | https://www.aclweb.org/anthology/D19-1495.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, pre-bert, adv-train, latent-topic, task-lexicon | 1 | Contrastive Language Adaptation for Cross-Lingual Stance Detection | Mitra Mohtarami, James Glass, Preslav Nakov | https://www.aclweb.org/anthology/D19-1452.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-lstm, arch-att, pre-fasttext, pre-bert, loss-margin, loss-triplet, task-lm, task-condlm, task-seq2seq | 0 | Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations | Po-Yao Huang, Xiaojun Chang, Alexander Hauptmann | https://www.aclweb.org/anthology/D19-1154.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-layer, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, search-beam, struct-crf, task-lm, task-seq2seq | 0 | Efficient Convolutional Neural Networks for Diacritic Restoration | Sawsan Alqahtani, Ajay Mishra, Mona Diab | https://www.aclweb.org/anthology/D19-1151.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-augment, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree | 0 | Do NLP Models Know Numbers? Probing Numeracy in Embeddings | Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner | https://www.aclweb.org/anthology/D19-1534.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-lm | 1 | Quantity doesn’t buy quality syntax with neural language models | Marten van Schijndel, Aaron Mueller, Tal Linzen | https://www.aclweb.org/anthology/D19-1592.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 74 | Semantic Specialization of Distributional Word Vectors | Goran Glavaś, Edoardo Maria Ponti, Ivan Vulić | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, comb-ensemble, pre-word2vec, task-seq2seq | 0 | Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis | Twin Karmakharm, Nikolaos Aletras, Kalina Bontcheva | https://www.aclweb.org/anthology/D19-3020.pdf |
| 2019 | EMNLP | # optim-sgd, optim-projection, reg-dropout, norm-layer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, adv-train, latent-vae, task-condlm, task-seq2seq | 0 | Semi-supervised Text Style Transfer: Cross Projection in Latent Space | Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan | https://www.aclweb.org/anthology/D19-1499.pdf |
| 2019 | EMNLP | # train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, struct-crf, adv-train, latent-vae, task-seqlab, task-seq2seq, task-lexicon | 1 | Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables | Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung | https://www.aclweb.org/anthology/D19-1129.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-bilinear, search-viterbi, pre-glove, pre-elmo, struct-crf, task-seqlab, task-condlm | 0 | Phrase Grounding by Soft-Label Chain Conditional Random Field | Jiacheng Liu, Julia Hockenmaier | https://www.aclweb.org/anthology/D19-1515.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-layer, train-mll, pool-mean, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-spanlab, task-lm, task-seq2seq | 0 | Cross-Lingual Machine Reading Comprehension | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu | https://www.aclweb.org/anthology/D19-1169.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-mll, train-active, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, search-viterbi, pre-glove, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation | 0 | Hierarchically-Refined Label Attention Network for Sequence Labeling | Leyang Cui, Yue Zhang | https://www.aclweb.org/anthology/D19-1422.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mtl, arch-att, arch-memo, arch-bilinear, arch-transformer, search-beam, pre-bert, task-seq2seq, task-tree | 0 | Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base | Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang | https://www.aclweb.org/anthology/D19-1248.pdf |
| 2019 | EMNLP | # reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, meta-arch | 1 | Show Your Work: Improved Reporting of Experimental Results | Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith | https://www.aclweb.org/anthology/D19-1224.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-word2vec, pre-bert, task-seqlab, task-seq2seq, task-relation, task-tree | 0 | A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling | Qingrong Xia, Zhenghua Li, Min Zhang | https://www.aclweb.org/anthology/D19-1541.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-copy, task-seq2seq | 0 | Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever | Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu | https://www.aclweb.org/anthology/D19-1013.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, pre-elmo, pre-bert, task-textpair, task-lm, task-seq2seq, task-cloze, task-alignment | 4 | Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks | Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou | https://www.aclweb.org/anthology/D19-1252.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, norm-layer, arch-att, arch-selfatt, arch-residual, arch-subword, arch-transformer, task-seq2seq | 1 | Synchronously Generating Two Languages with Interactive Decoding | Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu, Chengqing Zong | https://www.aclweb.org/anthology/D19-1330.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Context-Aware Conversation Thread Detection in Multi-Party Chat | Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-transfer, pool-mean, arch-att, arch-transformer, pre-fasttext, pre-bert, loss-cca, task-spanlab, task-lm, task-seq2seq, task-lexicon | 0 | Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model | Tsung-Yuan Hsu, Chi-Liang Liu, Hung-yi Lee | https://www.aclweb.org/anthology/D19-1607.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, pre-word2vec, task-seqlab, task-lm, task-relation, task-graph | 0 | Supervising Unsupervised Open Information Extraction Models | Arpita Roy, Youngja Park, Taesung Lee, Shimei Pan | https://www.aclweb.org/anthology/D19-1067.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-cnn, arch-att, pre-glove, task-textclass | 0 | Human-grounded Evaluations of Explanation Methods for Text Classification | Piyawat Lertvittayakumjorn, Francesca Toni | https://www.aclweb.org/anthology/D19-1523.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-decay, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq | 0 | Subword Language Model for Query Auto-Completion | Gyuwan Kim | https://www.aclweb.org/anthology/D19-1507.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, norm-gradient, arch-gru, arch-bigru, arch-att, adv-train, latent-vae, task-seq2seq | 0 | Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation | Weichao Wang, Shi Feng, Daling Wang, Yifei Zhang | https://www.aclweb.org/anthology/D19-1511.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, train-mtl, train-parallel, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-gating, arch-memo, arch-coverage, arch-transformer, pre-bert | 1 | Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection | Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun | https://www.aclweb.org/anthology/D19-1471.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, task-textclass, task-seq2seq | 0 | Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification | Jiawei Wu, Wenhan Xiong, William Yang Wang | https://www.aclweb.org/anthology/D19-1444.pdf |
| 2019 | EMNLP | # train-mtl, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing | Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, Tomoya Iwakura | https://www.aclweb.org/anthology/D19-1648.pdf |
| 2019 | EMNLP | # reg-dropout, reg-worddropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, latent-vae, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features | Hongyin Tang, Miao Li, Beihong Jin | https://www.aclweb.org/anthology/D19-1513.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, activ-tanh, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-nce, task-seq2seq, task-relation | 0 | Minimally Supervised Learning of Affective Events Using Discourse Relations | Jun Saito, Yugo Murawaki, Sadao Kurohashi | https://www.aclweb.org/anthology/D19-1581.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove | 0 | Improving Fine-grained Entity Typing with Entity Linking | Hongliang Dai, Donghong Du, Xin Li, Yangqiu Song | https://www.aclweb.org/anthology/D19-1643.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, arch-transformer, search-viterbi, pre-word2vec, struct-crf, task-textclass, task-seqlab, task-lm, task-relation | 1 | A Lexicon-Based Graph Neural Network for Chinese NER | Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang | https://www.aclweb.org/anthology/D19-1096.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-dropout, reg-stopping, train-mtl, train-mll, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-lm, task-seq2seq | 0 | One Model to Learn Both: Zero Pronoun Prediction and Translation | Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi | https://www.aclweb.org/anthology/D19-1085.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-subword, struct-crf, task-seq2seq | 0 | Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity | Penghui Wei, Nan Xu, Wenji Mao | https://www.aclweb.org/anthology/D19-1485.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze, task-relation | 22 | Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT | Shijie Wu, Mark Dredze | https://www.aclweb.org/anthology/D19-1077.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, pre-elmo, pre-bert, task-textpair, task-seqlab, task-lm | 0 | Entity, Relation, and Event Extraction with Contextualized Span Representations | David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/D19-1585.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, latent-vae, task-seq2seq, task-tree | 0 | Data-Anonymous Encoding for Text-to-SQL Generation | Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang | https://www.aclweb.org/anthology/D19-1543.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm | 0 | DENS: A Dataset for Multi-class Emotion Analysis | Chen Liu, Muhammad Osama, Anderson De Andrade | https://www.aclweb.org/anthology/D19-1656.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-att, arch-transformer, search-beam, pre-word2vec, task-lm, task-condlm, task-seq2seq | 2 | Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering | Soravit Changpinyo, Bo Pang, Piyush Sharma, Radu Soricut | https://www.aclweb.org/anthology/D19-1155.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, search-viterbi, pre-word2vec, pre-glove, pre-elmo, struct-crf, latent-vae, task-textpair, task-lm, task-seq2seq | 0 | A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing | Zeyu Dai, Ruihong Huang | https://www.aclweb.org/anthology/D19-1295.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-elmo, struct-crf, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semi-Supervised Semantic Role Labeling with Cross-View Training | Rui Cai, Mirella Lapata | https://www.aclweb.org/anthology/D19-1094.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq | 0 | Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss | Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao | https://www.aclweb.org/anthology/D19-1247.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-seq2seq | 0 | Referring Expression Generation Using Entity Profiles | Meng Cao, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/D19-1312.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, pre-bert, task-seq2seq | 0 | MoEL: Mixture of Empathetic Listeners | Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung | https://www.aclweb.org/anthology/D19-1012.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, train-augment, arch-att, comb-ensemble, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-relation | 0 | CFO: A Framework for Building Production NLP Systems | Rishav Chakravarti, Cezar Pendus, Andrzej Sakrajda, Anthony Ferritto, Lin Pan, Michael Glass, Vittorio Castelli, J William Murdock, Radu Florian, Salim Roukos, Avi Sil | https://www.aclweb.org/anthology/D19-3006.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, comb-ensemble, search-beam, adv-train, task-seqlab, task-seq2seq, task-graph | 0 | Iterative Dual Domain Adaptation for Neural Machine Translation | Jiali Zeng, Yang Liu, Jinsong Su, Yubing Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo | https://www.aclweb.org/anthology/D19-1078.pdf |
| 2019 | EMNLP | # train-mll, arch-att, arch-coverage, task-seq2seq | 0 | Vecalign: Improved Sentence Alignment in Linear Time and Space | Brian Thompson, Philipp Koehn | https://www.aclweb.org/anthology/D19-1136.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-gru, arch-bigru, arch-att, arch-copy, arch-subword, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | Generating Personalized Recipes from Historical User Preferences | Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley | https://www.aclweb.org/anthology/D19-1613.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, adv-train, loss-triplet, task-condlm, task-seq2seq | 0 | Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach | Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon | https://www.aclweb.org/anthology/D19-1208.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textpair, task-spanlab, task-seq2seq, task-tree, task-graph | 0 | Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing | Jonathan Herzig, Jonathan Berant | https://www.aclweb.org/anthology/D19-1394.pdf |
| 2019 | EMNLP | # reg-dropout, reg-labelsmooth, train-mtl, train-mll, train-augment, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, search-greedy, search-beam, pre-glove, pre-bert, task-seq2seq, task-relation, task-tree, task-graph | 2 | Broad-Coverage Semantic Parsing as Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/D19-1392.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-seq2seq | 1 | Incorporating External Knowledge into Machine Reading for Generative Question Answering | Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li | https://www.aclweb.org/anthology/D19-1255.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations | Christian Hadiwinoto, Hwee Tou Ng, Wee Chung Gan | https://www.aclweb.org/anthology/D19-1533.pdf |
| 2019 | EMNLP | # train-transfer, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-transformer, pre-bert | 0 | Humor Detection: A Transformer Gets the Last Laugh | Orion Weller, Kevin Seppi | https://www.aclweb.org/anthology/D19-1372.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree | 1 | “Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding | Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth | https://www.aclweb.org/anthology/D19-1332.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, latent-vae, task-seq2seq, task-tree, task-graph | 0 | Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs | Bailin Wang, Ivan Titov, Mirella Lapata | https://www.aclweb.org/anthology/D19-1391.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-active, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-lm, task-seq2seq, task-alignment | 0 | Learning to Copy for Automatic Post-Editing | Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun | https://www.aclweb.org/anthology/D19-1634.pdf |
| 2019 | EMNLP | # optim-projection, arch-gru, arch-att, task-condlm, task-seq2seq | 0 | REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning | Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao | https://www.aclweb.org/anthology/D19-1156.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, arch-subword, arch-transformer, search-greedy, search-beam, task-lm, task-condlm, task-seq2seq | 1 | Speculative Beam Search for Simultaneous Translation | Renjie Zheng, Mingbo Ma, Baigong Zheng, Liang Huang | https://www.aclweb.org/anthology/D19-1144.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-seq2seq, task-cloze | 1 | Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects | Jianmo Ni, Jiacheng Li, Julian McAuley | https://www.aclweb.org/anthology/D19-1018.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-seq2seq, task-tree | 0 | Data Augmentation with Atomic Templates for Spoken Language Understanding | Zijian Zhao, Su Zhu, Kai Yu | https://www.aclweb.org/anthology/D19-1375.pdf |
| 2019 | EMNLP | # optim-sgd, arch-lstm, arch-att, arch-selfatt, pre-word2vec, pre-bert, task-textclass, task-textpair, task-lm, task-cloze | 0 | News2vec: News Network Embedding with Subnode Information | Ye Ma, Lu Zong, Yikang Yang, Jionglong Su | https://www.aclweb.org/anthology/D19-1490.pdf |
| 2019 | EMNLP | # norm-batch, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-fasttext, pre-elmo, pre-bert, nondif-gumbelsoftmax, task-textclass, task-seq2seq, task-relation, task-lexicon | 0 | What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition | Ting-Yun Chang, Yun-Nung Chen | https://www.aclweb.org/anthology/D19-1627.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, train-active, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-condlm, task-seq2seq | 14 | Learning to Speak and Act in a Fantasy Text Adventure Game | Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston | https://www.aclweb.org/anthology/D19-1062.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-coverage, latent-topic | 0 | Interpretable Word Embeddings via Informative Priors | Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson | https://www.aclweb.org/anthology/D19-1661.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-rnn, arch-gru, arch-att, arch-memo, pre-word2vec, latent-vae | 0 | A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation | Jinxin Chang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Ting Yang, Ruifang Wang | https://www.aclweb.org/anthology/D19-1200.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq, task-relation, task-tree | 0 | Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension | Todor Mihaylov, Anette Frank | https://www.aclweb.org/anthology/D19-1257.pdf |
| 2019 | EMNLP | # train-mll, arch-att, search-greedy, pre-word2vec, pre-fasttext, pre-glove, task-textclass, task-lm, task-seq2seq | 2 | On Efficient Retrieval of Top Similarity Vectors | Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li | https://www.aclweb.org/anthology/D19-1527.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-glove, struct-crf, loss-cca, task-seqlab, task-condlm, task-seq2seq, task-relation | 0 | Partners in Crime: Multi-view Sequential Inference for Movie Understanding | Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen | https://www.aclweb.org/anthology/D19-1212.pdf |
| 2019 | EMNLP | # optim-adam, arch-gru, arch-att, search-beam, latent-vae, task-seq2seq | 1 | A Discrete CVAE for Response Generation on Short-Text Conversation | Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, Shuming Shi | https://www.aclweb.org/anthology/D19-1198.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 1 | Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel | Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov | https://www.aclweb.org/anthology/D19-1443.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-fasttext, pre-elmo, latent-vae, task-textclass, task-seq2seq, task-tree | 1 | Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks | Xinchi Chen, Chunchuan Lyu, Ivan Titov | https://www.aclweb.org/anthology/D19-1544.pdf |
| 2019 | EMNLP | # train-augment, arch-lstm, arch-att, task-lm, task-condlm | 0 | Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation | Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas | https://www.aclweb.org/anthology/D19-1596.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Dive into Deep Learning for Natural Language Processing | Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander Smola | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, optim-adadelta, arch-lstm, arch-bilstm, arch-att, arch-bilinear, search-beam, pre-glove, task-spanlab, task-lm | 0 | Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text | Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark | https://www.aclweb.org/anthology/D19-1457.pdf |
| 2019 | EMNLP | # arch-att, pre-use, latent-vae, latent-topic | 0 | Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery | Zhe Zhang, Munindar Singh | https://www.aclweb.org/anthology/D19-1555.pdf |
| 2019 | EMNLP | # optim-adagrad, optim-projection, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-att, arch-memo, task-seq2seq | 4 | CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis | Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen | https://www.aclweb.org/anthology/D19-1467.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-bilinear, arch-coverage, task-lm, task-relation | 0 | Towards Zero-shot Language Modeling | Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart, Anna Korhonen | https://www.aclweb.org/anthology/D19-1288.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, train-augment, arch-rnn, arch-cnn, arch-att, comb-ensemble, pre-word2vec, pre-skipthought, pre-bert, task-textclass, task-textpair, task-seq2seq | 0 | Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach | Zhenjie Zhao, Xiaojuan Ma | https://www.aclweb.org/anthology/D19-1408.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, pool-max, pool-mean, arch-cnn, arch-att, arch-selfatt, arch-memo, latent-vae, task-textclass, meta-init | 0 | Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion | Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing, Wai Lam | https://www.aclweb.org/anthology/D19-1024.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-spanlab, task-lm, task-relation, task-tree | 0 | Linking artificial and human neural representations of language | Jon Gauthier, Roger Levy | https://www.aclweb.org/anthology/D19-1050.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm | 1 | Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs | Soumya Sharma, Bishal Santra, Abhik Jana, Santosh Tokala, Niloy Ganguly, Pawan Goyal | https://www.aclweb.org/anthology/D19-1631.pdf |
| 2019 | EMNLP | # train-transfer, arch-rnn, arch-att, comb-ensemble, pre-bert, task-extractive, task-lm, task-cloze | 0 | AMPERSAND: Argument Mining for PERSuAsive oNline Discussions | Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang | https://www.aclweb.org/anthology/D19-1291.pdf |
| 2019 | EMNLP | # arch-att, arch-coverage, pre-bert, task-spanlab, task-tree | 1 | QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions | Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark | https://www.aclweb.org/anthology/D19-1608.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, arch-cnn, arch-att, arch-gating, arch-coverage, arch-transformer, pre-bert, loss-margin, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Aligning Cross-Lingual Entities with Multi-Aspect Information | Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun | https://www.aclweb.org/anthology/D19-1451.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-seq2seq, task-tree | 0 | Asking Clarification Questions in Knowledge-Based Question Answering | Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun | https://www.aclweb.org/anthology/D19-1172.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding | Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu | https://www.aclweb.org/anthology/D19-1097.pdf |
| 2019 | EMNLP | # pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-bert, loss-triplet | 0 | Improving Answer Selection and Answer Triggering using Hard Negatives | Sawan Kumar, Shweta Garg, Kartik Mehta, Nikhil Rasiwasia | https://www.aclweb.org/anthology/D19-1604.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, pre-glove, pre-bert, task-textpair, task-spanlab, task-seq2seq | 1 | Better Rewards Yield Better Summaries: Learning to Summarise Without References | Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1307.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-condlm, task-seq2seq | 0 | What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues | Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang | https://www.aclweb.org/anthology/D19-1516.pdf |
| 2019 | EMNLP | # optim-adam, arch-att | 0 | Are You for Real? Detecting Identity Fraud via Dialogue Interactions | Weikang Wang, Jiajun Zhang, Qian Li, Chengqing Zong, Zhifei Li | https://www.aclweb.org/anthology/D19-1185.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Data Collection and End-to-End Learning for Conversational AI | Tsung-Hsien Wen, Pei-Hao Su, Paweł Budzianowski, Iñigo Casanueva, Ivan Vulić | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, task-spanlab, task-lm, task-seq2seq | 0 | Multi-Task Learning with Language Modeling for Question Generation | Wenjie Zhou, Minghua Zhang, Yunfang Wu | https://www.aclweb.org/anthology/D19-1337.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-textpair, task-lm | 0 | Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching | Mingtong Liu, Yujie Zhang, Jinan Xu, Yufeng Chen | https://www.aclweb.org/anthology/D19-1267.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, pre-bert, struct-crf, task-seqlab, task-seq2seq | 0 | Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition | Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, Bin Dong, Shanshan Jiang | https://www.aclweb.org/anthology/D19-1646.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-copy, comb-ensemble, pre-glove, latent-vae, task-relation, task-tree, task-graph, task-lexicon | 0 | Semantic graph parsing with recurrent neural network DAG grammars | Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata | https://www.aclweb.org/anthology/D19-1278.pdf |
| 2019 | EMNLP | # optim-adam, optim-adagrad, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-bilinear, arch-coverage, search-beam, task-extractive, task-seq2seq | 0 | How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing | Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1388.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-bert, task-textpair, task-seqlab, task-lm | 0 | IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis | Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu | https://www.aclweb.org/anthology/D19-3017.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, struct-crf, task-textclass, task-extractive, task-lm, task-seq2seq | 0 | Pretrained Language Models for Sequential Sentence Classification | Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Dan Weld | https://www.aclweb.org/anthology/D19-1383.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-active, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq | 19 | EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks | Jason Wei, Kai Zou | https://www.aclweb.org/anthology/D19-1670.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-coverage, task-lm | 0 | Neural News Recommendation with Heterogeneous User Behavior | Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/D19-1493.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, latent-topic, loss-svd, task-lm, task-seq2seq | 0 | Adaptive Parameterization for Neural Dialogue Generation | Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin | https://www.aclweb.org/anthology/D19-1188.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-seq2seq, task-tree, task-graph | 0 | Modeling Graph Structure in Transformer for Better AMR-to-Text Generation | Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou | https://www.aclweb.org/anthology/D19-1548.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-att, arch-coverage, arch-transformer, search-beam, task-seq2seq | 0 | INMT: Interactive Neural Machine Translation Prediction | Sebastin Santy, Sandipan Dandapat, Monojit Choudhury, Kalika Bali | https://www.aclweb.org/anthology/D19-3018.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq, task-tree | 0 | Towards Understanding Neural Machine Translation with Word Importance | Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael Lyu, Shuming Shi | https://www.aclweb.org/anthology/D19-1088.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, adv-train | 0 | Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network | Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen | https://www.aclweb.org/anthology/D19-1487.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mtl, train-mll, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, adv-train, task-spanlab, task-lm, task-seq2seq | 2 | Adversarial Domain Adaptation for Machine Reading Comprehension | Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang | https://www.aclweb.org/anthology/D19-1254.pdf |
| 2019 | EMNLP | # reg-dropout, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, task-relation | 0 | Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction | Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren | https://www.aclweb.org/anthology/D19-1397.pdf |
| 2019 | EMNLP | # reg-stopping, train-mtl, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-hmm, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Similarity Based Auxiliary Classifier for Named Entity Recognition | Shiyuan Xiao, Yuanxin Ouyang, Wenge Rong, Jianxin Yang, Zhang Xiong | https://www.aclweb.org/anthology/D19-1105.pdf |
| 2019 | EMNLP | # optim-adagrad, arch-lstm, arch-bilstm, arch-att, arch-coverage, task-extractive, task-condlm, task-seq2seq | 0 | Attention Optimization for Abstractive Document Summarization | Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang | https://www.aclweb.org/anthology/D19-1117.pdf |
| 2019 | EMNLP | # optim-projection, init-glorot, train-mll, arch-gnn, arch-att, arch-selfatt, arch-coverage, loss-margin | 0 | Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model | Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua | https://www.aclweb.org/anthology/D19-1274.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, arch-rnn, arch-gru, arch-att, pre-word2vec, pre-elmo, task-condlm | 2 | Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts | Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran | https://www.aclweb.org/anthology/D19-1469.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-coverage, latent-topic | 0 | Modeling Frames in Argumentation | Yamen Ajjour, Milad Alshomary, Henning Wachsmuth, Benno Stein | https://www.aclweb.org/anthology/D19-1290.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-glove, task-textclass, task-seq2seq | 0 | Robust Text Classifier on Test-Time Budgets | Md Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama | https://www.aclweb.org/anthology/D19-1108.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, latent-vae, task-tree | 0 | Answering Conversational Questions on Structured Data without Logical Forms | Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun | https://www.aclweb.org/anthology/D19-1603.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, pre-elmo, pre-bert, task-lm | 1 | GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge | Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/D19-1355.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-patience, arch-rnn, arch-att, arch-selfatt, pre-bert, task-spanlab, task-lm | 2 | Answering Complex Open-domain Questions Through Iterative Query Generation | Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning | https://www.aclweb.org/anthology/D19-1261.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, pre-glove, task-textpair | 0 | Modeling the Relationship between User Comments and Edits in Document Revision | Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, ChangTien Lu | https://www.aclweb.org/anthology/D19-1505.pdf |
| 2019 | EMNLP | # optim-sgd, init-glorot, train-mll, train-augment, arch-lstm, arch-att, arch-coverage, arch-subword, search-beam, task-lm, task-seq2seq, task-relation | 0 | Surface Realisation Using Full Delexicalisation | Anastasia Shimorina, Claire Gardent | https://www.aclweb.org/anthology/D19-1305.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, task-seqlab, task-seq2seq, task-alignment | 0 | Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach | Wenqiang Lei, Weiwen Xu, Ai Ti Aw, Yuanxin Xiang, Tat Seng Chua | https://www.aclweb.org/anthology/D19-1087.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, task-textclass, task-lm | 0 | Label-Specific Document Representation for Multi-Label Text Classification | Lin Xiao, Xin Huang, Boli Chen, Liping Jing | https://www.aclweb.org/anthology/D19-1044.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-glove, task-textclass, task-seq2seq | 0 | Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis | Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang | https://www.aclweb.org/anthology/D19-1343.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, arch-lstm, arch-att, task-condlm, task-seq2seq, task-tree | 0 | RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation | Tzuf Paz-Argaman, Reut Tsarfaty | https://www.aclweb.org/anthology/D19-1681.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, search-viterbi, pre-word2vec, pre-skipthought, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation | 0 | Learning to Infer Entities, Properties and their Relations from Clinical Conversations | Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran | https://www.aclweb.org/anthology/D19-1503.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-bert, latent-topic, task-textclass, task-textpair | 0 | Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach | Wenpeng Yin, Jamaal Hay, Dan Roth | https://www.aclweb.org/anthology/D19-1404.pdf |
| 2019 | EMNLP | # optim-adam, optim-adagrad, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, search-beam, pre-glove, pre-paravec, adv-train, latent-topic, task-textpair, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq | 0 | Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information | Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee | https://www.aclweb.org/anthology/D19-1232.pdf |
| 2019 | EMNLP | # arch-att, arch-coverage, pre-bert, task-spanlab, task-lm | 0 | A Summarization System for Scientific Documents | Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Francesca Bonin, David Konopnicki | https://www.aclweb.org/anthology/D19-3036.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, task-seq2seq | 0 | Multi-agent Learning for Neural Machine Translation | Tianchi Bi, Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/D19-1079.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-elmo | 0 | Rewarding Coreference Resolvers for Being Consistent with World Knowledge | Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, Daniel Herschcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard | https://www.aclweb.org/anthology/D19-1118.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, arch-coverage, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-seq2seq, task-tree | 0 | Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks | Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon | https://www.aclweb.org/anthology/D19-1183.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 0 | Contrastive Attention Mechanism for Abstractive Sentence Summarization | Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang | https://www.aclweb.org/anthology/D19-1301.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, reg-decay, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-att, pre-fasttext, pre-glove, task-textclass | 0 | Text Level Graph Neural Network for Text Classification | Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang | https://www.aclweb.org/anthology/D19-1345.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, task-condlm, task-seq2seq | 0 | Compositional Generalization for Primitive Substitutions | Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness | https://www.aclweb.org/anthology/D19-1438.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, pre-elmo, pre-use, task-textclass, task-textpair, task-seq2seq | 0 | The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization | Simeng Sun, Ani Nenkova | https://www.aclweb.org/anthology/D19-1116.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, search-greedy, task-extractive, task-condlm, task-seq2seq | 1 | An Entity-Driven Framework for Abstractive Summarization | Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang | https://www.aclweb.org/anthology/D19-1323.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, pool-max, arch-gcnn, arch-cnn, arch-att, pre-glove, task-textclass, task-condlm, task-seq2seq | 0 | Hierarchical Text Classification with Reinforced Label Assignment | Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren | https://www.aclweb.org/anthology/D19-1042.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-cca, task-lm, task-seq2seq, task-cloze | 1 | The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives | Elena Voita, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/D19-1448.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Learning with Limited Data for Multilingual Reading Comprehension | Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee | https://www.aclweb.org/anthology/D19-1283.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-subword, nondif-reinforce, latent-vae, task-extractive, task-condlm, task-seq2seq | 0 | Select and Attend: Towards Controllable Content Selection in Text Generation | Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine | https://www.aclweb.org/anthology/D19-1054.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, comb-ensemble, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation | Huiyun Yang, Shujian Huang, Xin-Yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/D19-1429.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq | 0 | Generating Classical Chinese Poems from Vernacular Chinese | Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Yu | https://www.aclweb.org/anthology/D19-1637.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-coverage, pre-elmo, pre-bert, task-relation | 0 | MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering | Hojae Han, Seungtaek Choi, Haeju Park, Seung-won Hwang | https://www.aclweb.org/anthology/D19-1601.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation | Rocco Tripodi, Roberto Navigli | https://www.aclweb.org/anthology/D19-1009.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Discreteness in Neural Natural Language Processing | Lili Mou, Hao Zhou, Lei Li | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, struct-crf, loss-triplet, task-seqlab, task-lm, task-seq2seq, task-context | 14 | Cloze-driven Pretraining of Self-attention Networks | Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli | https://www.aclweb.org/anthology/D19-1539.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, latent-vae, task-seqlab, task-lm, task-seq2seq, task-tree | 0 | Latent Part-of-Speech Sequences for Neural Machine Translation | Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian | https://www.aclweb.org/anthology/D19-1072.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-cnn, arch-att, arch-selfatt, task-textpair, task-condlm | 0 | DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization | Chujie Lu, Long Chen, Chilie Tan, Xiaolin Li, Jun Xiao | https://www.aclweb.org/anthology/D19-1518.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 49 | bib (full) | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, search-beam, adv-train, task-lm, task-condlm, task-seq2seq, task-relation | 0 | Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation | Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang, Kun Gai, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1501.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, arch-memo, task-textpair, task-spanlab, task-lm | 0 | Memory Grounded Conversational Reasoning | Seungwhan Moon, Pararth Shah, Rajen Subba, Anuj Kumar | https://www.aclweb.org/anthology/D19-3025.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mtl, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab, task-lm, task-seq2seq | 2 | Knowledge Enhanced Contextual Word Representations | Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith | https://www.aclweb.org/anthology/D19-1005.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, task-lm, task-seq2seq | 0 | Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling | Bo-Hsiang Tseng, Marek Rei, Paweł Budzianowski, Richard Turner, Bill Byrne, Anna Korhonen | https://www.aclweb.org/anthology/D19-1125.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Processing and Understanding Mixed Language Data | Monojit Choudhury, Anirudh Srinivasan, Sandipan Dandapat | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer | 1 | UR-FUNNY: A Multimodal Language Dataset for Understanding Humor | Md Kamrul Hasan, Wasifur Rahman, AmirAli Bagher Zadeh, Jianyuan Zhong, Md Iftekhar Tanveer, Louis-Philippe Morency, Mohammed (Ehsan) Hoque | https://www.aclweb.org/anthology/D19-1211.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, adv-examp, adv-train, task-condlm, task-seq2seq | 8 | Attention is not not Explanation | Sarah Wiegreffe, Yuval Pinter | https://www.aclweb.org/anthology/D19-1002.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, task-seq2seq | 1 | Controlling Text Complexity in Neural Machine Translation | Sweta Agrawal, Marine Carpuat | https://www.aclweb.org/anthology/D19-1166.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-gru, arch-att, arch-bilinear, adv-examp, task-lm, task-condlm, task-seq2seq | 0 | TIGEr: Text-to-Image Grounding for Image Caption Evaluation | Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao | https://www.aclweb.org/anthology/D19-1220.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-transfer, arch-att, arch-coverage, arch-transformer, pre-skipthought, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, meta-init | 0 | Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks | Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos | https://www.aclweb.org/anthology/D19-1112.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, nondif-gumbelsoftmax, loss-svd, task-lm, task-seq2seq | 0 | MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model | Yukun Ma, Patrick H. Chen, Cho-Jui Hsieh | https://www.aclweb.org/anthology/D19-1529.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, arch-bilinear, pre-fasttext, loss-nce, task-textclass, task-lexicon, task-alignment | 0 | Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation | Yogarshi Vyas, Marine Carpuat | https://www.aclweb.org/anthology/D19-1532.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, search-beam, adv-train, task-seq2seq | 0 | Towards Controllable and Personalized Review Generation | Pan Li, Alexander Tuzhilin | https://www.aclweb.org/anthology/D19-1319.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-decay, train-mll, train-transfer, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq | 1 | The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English | Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc’Aurelio Ranzato | https://www.aclweb.org/anthology/D19-1632.pdf |
| 2019 | EMNLP | # reg-stopping, reg-patience, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, pre-word2vec, task-textclass, task-seq2seq, task-tree | 0 | CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases | Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, Dragomir Radev | https://www.aclweb.org/anthology/D19-1204.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-seqlab, task-lm, task-seq2seq, task-tree, task-alignment | 0 | Handling Syntactic Divergence in Low-resource Machine Translation | Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig | https://www.aclweb.org/anthology/D19-1143.pdf |
| 2019 | EMNLP | # optim-adam, optim-adadelta, optim-projection, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, search-greedy, search-beam, pre-elmo, pre-bert, nondif-reinforce, task-textpair, task-seqlab, task-spanlab, task-lm, task-condlm, task-seq2seq | 0 | Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering | Shiyue Zhang, Mohit Bansal | https://www.aclweb.org/anthology/D19-1253.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, task-tree | 1 | PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text | Haitian Sun, Tania Bedrax-Weiss, William Cohen | https://www.aclweb.org/anthology/D19-1242.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, loss-nce, task-textclass, task-lm, task-cloze | 0 | Multi-Granularity Representations of Dialog | Shikib Mehri, Maxine Eskenazi | https://www.aclweb.org/anthology/D19-1184.pdf |
| 2019 | EMNLP | # reg-dropout, train-active, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, task-textclass | 1 | Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes | Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani | https://www.aclweb.org/anthology/D19-1580.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, pre-glove, pre-bert, nondif-reinforce, task-textclass, task-seq2seq, task-relation, task-tree | 0 | A Split-and-Recombine Approach for Follow-up Query Analysis | Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang | https://www.aclweb.org/anthology/D19-1535.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq, task-relation, task-graph | 0 | Self-Attention with Structural Position Representations | Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi | https://www.aclweb.org/anthology/D19-1145.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, struct-crf, task-lm, task-seq2seq | 0 | CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots | Arshit Gupta, Peng Zhang, Garima Lalwani, Mona Diab | https://www.aclweb.org/anthology/D19-1127.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att, pre-fasttext, pre-bert, task-spanlab, task-seq2seq | 0 | Finding Generalizable Evidence by Learning to Convince Q&A Models | Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho | https://www.aclweb.org/anthology/D19-1244.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-word2vec, task-alignment | 0 | Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots | Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu | https://www.aclweb.org/anthology/D19-1011.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-layer, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textpair, task-condlm | 0 | Asynchronous Deep Interaction Network for Natural Language Inference | Di Liang, Fubao Zhang, Qi Zhang, Xuanjing Huang | https://www.aclweb.org/anthology/D19-1271.pdf |
| 2019 | EMNLP | # train-mll, arch-lstm, arch-cnn, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq | 1 | EntEval: A Holistic Evaluation Benchmark for Entity Representations | Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel | https://www.aclweb.org/anthology/D19-1040.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-copy, task-seq2seq | 0 | Task-Oriented Conversation Generation Using Heterogeneous Memory Networks | Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Yin Zhang | https://www.aclweb.org/anthology/D19-1463.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att | 0 | Easy First Relation Extraction with Information Redundancy | Shuai Ma, Gang Wang, Yansong Feng, Jinpeng Huai | https://www.aclweb.org/anthology/D19-1398.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-bert, latent-vae | 0 | Transfer Learning Between Related Tasks Using Expected Label Proportions | Matan Ben Noach, Yoav Goldberg | https://www.aclweb.org/anthology/D19-1004.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-bert, task-textpair | 2 | Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling | Jinfeng Rao, Linqing Liu, Yi Tay, Wei Yang, Peng Shi, Jimmy Lin | https://www.aclweb.org/anthology/D19-1540.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-norm, train-mll, arch-att, arch-coverage, loss-margin, task-seq2seq | 0 | Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment | Xiaofei Shi, Yanghua Xiao | https://www.aclweb.org/anthology/D19-1075.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-seq2seq | 0 | Sequential Learning of Convolutional Features for Effective Text Classification | Avinash Madasu, Vijjini Anvesh Rao | https://www.aclweb.org/anthology/D19-1567.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | The Role of Pragmatic and Discourse Context in Determining Argument Impact | Esin Durmus, Faisal Ladhak, Claire Cardie | https://www.aclweb.org/anthology/D19-1568.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, task-relation | 0 | Event Detection with Multi-Order Graph Convolution and Aggregated Attention | Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng | https://www.aclweb.org/anthology/D19-1582.pdf |
| 2019 | EMNLP | # optim-adagrad, arch-rnn, arch-lstm, arch-att, pre-glove, struct-crf, loss-nce, task-lm, task-seq2seq | 0 | Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs | Dongyeop Kang, Eduard Hovy | https://www.aclweb.org/anthology/D19-1589.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-bert, loss-nce, task-seqlab, task-relation | 0 | KnowledgeNet: A Benchmark Dataset for Knowledge Base Population | Filipe Mesquita, Matteo Cannaviccio, Jordan Schmidek, Paramita Mirza, Denilson Barbosa | https://www.aclweb.org/anthology/D19-1069.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, task-seq2seq | 1 | On NMT Search Errors and Model Errors: Cat Got Your Tongue? | Felix Stahlberg, Bill Byrne | https://www.aclweb.org/anthology/D19-1331.pdf |
| 2019 | EMNLP | # reg-dropout, train-mll, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-lm, task-seq2seq | 0 | Investigating the Effectiveness of BPE: The Power of Shorter Sequences | Matthias Gallé | https://www.aclweb.org/anthology/D19-1141.pdf |
| 2019 | EMNLP | # train-mll, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-elmo, pre-bert, task-seq2seq | 2 | Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite | Prathyusha Jwalapuram, Shafiq Joty, Irina Temnikova, Preslav Nakov | https://www.aclweb.org/anthology/D19-1294.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-viterbi, pre-elmo, pre-bert, struct-crf, loss-nce, task-seqlab, task-lm | 0 | Effective Use of Transformer Networks for Entity Tracking | Aditya Gupta, Greg Durrett | https://www.aclweb.org/anthology/D19-1070.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage | 0 | Charge-Based Prison Term Prediction with Deep Gating Network | Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, Yadong Ding | https://www.aclweb.org/anthology/D19-1667.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-bert, adv-examp, latent-vae, task-textclass, task-lm, task-seq2seq, task-relation | 0 | Latent-Variable Generative Models for Data-Efficient Text Classification | Xiaoan Ding, Kevin Gimpel | https://www.aclweb.org/anthology/D19-1048.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-bert, task-lm | 1 | Attending to Future Tokens for Bidirectional Sequence Generation | Carolin Lawrence, Bhushan Kotnis, Mathias Niepert | https://www.aclweb.org/anthology/D19-1001.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-sgd, optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq | 0 | Improving Question Generation With to the Point Context | Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/D19-1317.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-word2vec, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm | 0 | PubMedQA: A Dataset for Biomedical Research Question Answering | Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, Xinghua Lu | https://www.aclweb.org/anthology/D19-1259.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, arch-rnn, arch-gru, arch-att, pre-glove, task-seq2seq | 0 | Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations | Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1199.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, train-mll, train-active, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, task-seq2seq, task-tree, task-graph, task-alignment | 0 | Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling | Angel Daza, Anette Frank | https://www.aclweb.org/anthology/D19-1056.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-gru, arch-att, arch-copy, pre-glove, task-seq2seq | 0 | GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue | Jun Quan, Deyi Xiong, Bonnie Webber, Changjian Hu | https://www.aclweb.org/anthology/D19-1462.pdf |
| 2019 | EMNLP | # optim-adam, train-active, arch-att | 1 | Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts | Luke Breitfeller, Emily Ahn, David Jurgens, Yulia Tsvetkov | https://www.aclweb.org/anthology/D19-1176.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-subword, pre-glove, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Rethinking Attribute Representation and Injection for Sentiment Classification | Reinald Kim Amplayo | https://www.aclweb.org/anthology/D19-1562.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-stopping, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-bert, task-textclass, task-seq2seq | 0 | Enhancing Local Feature Extraction with Global Representation for Neural Text Classification | Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu, Sheng Gao | https://www.aclweb.org/anthology/D19-1047.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq | 0 | Attribute-aware Sequence Network for Review Summarization | Junjie Li, Xuepeng Wang, Dawei Yin, Chengqing Zong | https://www.aclweb.org/anthology/D19-1297.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, adv-train, task-lm, task-condlm, task-seq2seq | 0 | ARAML: A Stable Adversarial Training Framework for Text Generation | Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu | https://www.aclweb.org/anthology/D19-1436.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, nondif-minrisk, nondif-reinforce, task-seq2seq | 0 | Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning | Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1035.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, struct-crf | 0 | Event Detection with Trigger-Aware Lattice Neural Network | Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng, Zibo Lin | https://www.aclweb.org/anthology/D19-1033.pdf |
| 2019 | EMNLP | # optim-adam, norm-layer, train-mll, train-augment, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-lm, task-condlm, task-seq2seq | 19 | LXMERT: Learning Cross-Modality Encoder Representations from Transformers | Hao Tan, Mohit Bansal | https://www.aclweb.org/anthology/D19-1514.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-lm, task-seq2seq | 0 | Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer | Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao | https://www.aclweb.org/anthology/D19-1365.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-seq2seq, task-tree | 0 | Improving Back-Translation with Uncertainty-based Confidence Estimation | Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun | https://www.aclweb.org/anthology/D19-1073.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, task-relation, task-tree | 0 | Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering | Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu | https://www.aclweb.org/anthology/D19-1263.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, loss-cca, task-seq2seq | 0 | Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis | Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/D19-1566.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-glove, adv-train, latent-topic, task-textclass, task-seq2seq | 0 | Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis | Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li | https://www.aclweb.org/anthology/D19-1478.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, pre-bert, loss-cca, loss-svd, task-lm, task-seq2seq | 4 | Investigating Multilingual NMT Representations at Scale | Sneha Kudugunta, Ankur Bapna, Isaac Caswell, Orhan Firat | https://www.aclweb.org/anthology/D19-1167.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, pre-glove, struct-crf | 0 | Revealing and Predicting Online Persuasion Strategy with Elementary Units | Gaku Morio, Ryo Egawa, Katsuhide Fujita | https://www.aclweb.org/anthology/D19-1653.pdf |
| 2019 | EMNLP | # reg-dropout, reg-decay, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, pre-bert, task-textclass, task-lm, task-seq2seq | 2 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuning | Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kadras, Sylvain Gugger, Jeremy Howard | https://www.aclweb.org/anthology/D19-1572.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-copy, search-beam, task-spanlab, task-seq2seq | 0 | Generating Highly Relevant Questions | Jiazuo Qiu, Deyi Xiong | https://www.aclweb.org/anthology/D19-1614.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, pre-glove | 0 | Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs | Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou | https://www.aclweb.org/anthology/D19-1498.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce | 0 | Learning Dynamic Context Augmentation for Global Entity Linking | Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren | https://www.aclweb.org/anthology/D19-1026.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-textclass, task-seq2seq | 0 | Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation | Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou | https://www.aclweb.org/anthology/D19-1164.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, task-textpair, task-seq2seq | 1 | Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework | Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Shuming Shi | https://www.aclweb.org/anthology/D19-1195.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, search-beam, latent-vae, task-extractive, task-lm, task-seq2seq | 1 | BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle | Peter West, Ari Holtzman, Jan Buys, Yejin Choi | https://www.aclweb.org/anthology/D19-1389.pdf |
| 2019 | EMNLP | # optim-adam, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Fine-tune BERT with Sparse Self-Attention Mechanism | Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang | https://www.aclweb.org/anthology/D19-1361.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, norm-gradient, pool-mean, arch-rnn, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-vae, task-seq2seq | 0 | Long and Diverse Text Generation with Planning-based Hierarchical Variational Model | Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu | https://www.aclweb.org/anthology/D19-1321.pdf |
| 2019 | EMNLP | # optim-sgd, init-glorot, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, adv-train | 0 | Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification | Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su | https://www.aclweb.org/anthology/D19-1558.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-word2vec, task-textclass | 0 | Using Clinical Notes with Time Series Data for ICU Management | Swaraj Khadanga, Karan Aggarwal, Shafiq Joty, Jaideep Srivastava | https://www.aclweb.org/anthology/D19-1678.pdf |
| 2019 | EMNLP | # reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext | 0 | Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization | Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si | https://www.aclweb.org/anthology/D19-1237.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-norm, pool-max, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, task-textclass, task-seq2seq | 1 | Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification | Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu | https://www.aclweb.org/anthology/D19-1551.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, task-seqlab, task-seq2seq | 0 | Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration | Zhufeng Pan, Kun Bai, Yan Wang, Lianqiang Zhou, Xiaojiang Liu | https://www.aclweb.org/anthology/D19-1191.pdf |
| 2019 | EMNLP | # optim-sgd, arch-rnn, arch-att, arch-coverage, struct-hmm, task-tree | 0 | EUSP: An Easy-to-Use Semantic Parsing PlatForm | Bo An, Chen Bo, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/D19-3012.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, loss-nce, task-textclass, task-textpair, task-lm, task-cloze | 0 | Multi-label Categorization of Accounts of Sexism using a Neural Framework | Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma | https://www.aclweb.org/anthology/D19-1174.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, pre-bert, task-spanlab | 0 | Movie Plot Analysis via Turning Point Identification | Pinelopi Papalampidi, Frank Keller, Mirella Lapata | https://www.aclweb.org/anthology/D19-1180.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gcnn, arch-cnn, arch-att, arch-memo, pre-glove | 1 | DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation | Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh | https://www.aclweb.org/anthology/D19-1015.pdf |
| 2019 | EMNLP | # optim-projection, arch-lstm, arch-bilstm, arch-att | 0 | Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas | Kosuke Akimoto, Takuya Hiraoka, Kunihiko Sadamasa, Mathias Niepert | https://www.aclweb.org/anthology/D19-1645.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq, task-relation | 0 | Recurrent Positional Embedding for Neural Machine Translation | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita | https://www.aclweb.org/anthology/D19-1139.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, reg-patience, reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-coverage, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seqlab, task-seq2seq | 0 | Deep Copycat Networks for Text-to-Text Generation | Julia Ive, Pranava Madhyastha, Lucia Specia | https://www.aclweb.org/anthology/D19-1318.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-residual, arch-coverage, pre-glove, task-textpair, task-lm, task-relation, task-tree | 0 | Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling | Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin | https://www.aclweb.org/anthology/D19-1114.pdf |
| 2019 | EMNLP | # optim-adam, reg-patience, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm | 10 | Language Models as Knowledge Bases? | Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander Miller | https://www.aclweb.org/anthology/D19-1250.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-memo, arch-transformer, pre-bert, task-textpair, task-relation | 1 | STANCY: Stance Classification Based on Consistency Cues | Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum | https://www.aclweb.org/anthology/D19-1675.pdf |
| 2019 | EMNLP | # optim-projection, train-mtl, arch-cnn, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-cloze | 9 | Patient Knowledge Distillation for BERT Model Compression | Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu | https://www.aclweb.org/anthology/D19-1441.pdf |
| 2019 | EMNLP | # arch-att | 0 | Telling the Whole Story: A Manually Annotated Chinese Dataset for the Analysis of Humor in Jokes | Dongyu Zhang, Heting Zhang, Xikai Liu, Hongfei Lin, Feng Xia | https://www.aclweb.org/anthology/D19-1673.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-tree | 0 | Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis | Hiroki Ouchi, Jun Suzuki, Kentaro Inui | https://www.aclweb.org/anthology/D19-1379.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, reg-patience, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-word2vec, pre-fasttext, pre-glove, task-textpair, task-seqlab, task-lm, task-relation, task-tree | 0 | LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations | Max Eichler, Gözde Gül Şahin, Iryna Gurevych | https://www.aclweb.org/anthology/D19-3022.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-glove | 0 | Feature2Vec: Distributional semantic modelling of human property knowledge | Steven Derby, Paul Miller, Barry Devereux | https://www.aclweb.org/anthology/D19-1595.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 0 | Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations | Zuyi Bao, Rui Huang, Chen Li, Kenny Zhu | https://www.aclweb.org/anthology/D19-1095.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, pre-glove, task-condlm, task-seq2seq, task-relation | 0 | Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks | Chen Zhang, Qiuchi Li, Dawei Song | https://www.aclweb.org/anthology/D19-1464.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, arch-lstm, arch-cnn, arch-att, nondif-reinforce, adv-train, task-textpair | 0 | DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning | Ruiping Li, Xiang Cheng | https://www.aclweb.org/anthology/D19-1266.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, pre-glove, pre-skipthought, pre-elmo, pre-use, adv-train, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation | Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus | https://www.aclweb.org/anthology/D19-1306.pdf |
| 2019 | EMNLP | # reg-dropout, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-copy, task-seq2seq | 0 | Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time) | Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu | https://www.aclweb.org/anthology/D19-1310.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-decay, arch-att, pre-elmo, loss-svd | 1 | An Attentive Fine-Grained Entity Typing Model with Latent Type Representation | Ying Lin, Heng Ji | https://www.aclweb.org/anthology/D19-1641.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-word2vec, task-textclass, task-seq2seq | 1 | Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification | Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma | https://www.aclweb.org/anthology/D19-1043.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-parallel, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-spanlab, task-seq2seq, task-alignment | 0 | BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels | Yimin Jing, Deyi Xiong, Zhen Yan | https://www.aclweb.org/anthology/D19-1249.pdf |
| 2019 | EMNLP | # reg-dropout, train-transfer, train-parallel, arch-att, arch-transformer, task-seq2seq | 1 | Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation | Raj Dabre, Atsushi Fujita, Chenhui Chu | https://www.aclweb.org/anthology/D19-1146.pdf |
| 2019 | EMNLP | # optim-projection, train-transfer, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-condlm | 0 | Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects | James Mullenbach, Jonathan Gordon, Nanyun Peng, Jonathan May | https://www.aclweb.org/anthology/D19-1625.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq | 2 | Multilingual Neural Machine Translation with Language Clustering | Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1089.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, comb-ensemble, adv-feat, adv-train, task-lm, task-seq2seq | 0 | Pushing the Limits of Low-Resource Morphological Inflection | Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/D19-1091.pdf |
| 2019 | EMNLP | # optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, nondif-reinforce, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq | 1 | Answers Unite! Unsupervised Metrics for Reinforced Summarization Models | Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano | https://www.aclweb.org/anthology/D19-1320.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm | 0 | Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering | Vikas Yadav, Steven Bethard, Mihai Surdeanu | https://www.aclweb.org/anthology/D19-1260.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, pre-glove, pre-bert, nondif-reinforce, task-lm, task-seq2seq | 0 | Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue | Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, Jason Weston | https://www.aclweb.org/anthology/D19-1203.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-coverage, loss-nce, task-seq2seq, task-tree | 1 | Global Reasoning over Database Structures for Text-to-SQL Parsing | Ben Bogin, Matt Gardner, Jonathan Berant | https://www.aclweb.org/anthology/D19-1378.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-bert | 1 | A deep-learning framework to detect sarcasm targets | Jasabanta Patro, Srijan Bansal, Animesh Mukherjee | https://www.aclweb.org/anthology/D19-1663.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, pre-glove, adv-train, task-textpair, task-spanlab, meta-arch | 3 | Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning | Yichen Jiang, Mohit Bansal | https://www.aclweb.org/anthology/D19-1455.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-transformer, pre-glove, pre-bert, task-seq2seq | 0 | A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis | Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang | https://www.aclweb.org/anthology/D19-1654.pdf |
| 2019 | EMNLP | # train-transfer, arch-att, arch-transformer, pre-elmo, pre-bert, task-textclass, task-lm | 0 | Pre-Training BERT on Domain Resources for Short Answer Grading | Chul Sung, Tejas Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora | https://www.aclweb.org/anthology/D19-1628.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adadelta, reg-dropout, pool-max, arch-cnn, arch-att, arch-memo, adv-train, latent-vae | 0 | Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework | Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu | https://www.aclweb.org/anthology/D19-1031.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-greedy, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation | 0 | Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited | Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre | https://www.aclweb.org/anthology/D19-1277.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, struct-crf, latent-vae, task-seqlab | 0 | A Boundary-aware Neural Model for Nested Named Entity Recognition | Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu | https://www.aclweb.org/anthology/D19-1034.pdf |
| 2019 | EMNLP | # optim-adagrad, reg-patience, arch-lstm, arch-gru, arch-att, arch-memo, pre-glove | 0 | Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks | Xingwei Tan, Yi Cai, Changxi Zhu | https://www.aclweb.org/anthology/D19-1342.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-gru, arch-att, pre-glove, task-seq2seq | 0 | Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference | Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu | https://www.aclweb.org/anthology/D19-1240.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, pre-bert, task-seq2seq, task-relation, task-tree | 0 | Leveraging Dependency Forest for Neural Medical Relation Extraction | Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su | https://www.aclweb.org/anthology/D19-1020.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, task-seq2seq | 0 | An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation | Wanyu Du, Yangfeng Ji | https://www.aclweb.org/anthology/D19-1619.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-relation | 0 | Weak Supervision for Learning Discourse Structure | Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher | https://www.aclweb.org/anthology/D19-1234.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-gradient, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-extractive, task-spanlab, task-condlm, task-seq2seq | 0 | Reading Like HER: Human Reading Inspired Extractive Summarization | Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He | https://www.aclweb.org/anthology/D19-1300.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, train-transfer, arch-gnn, arch-att, pre-bert, adv-train | 1 | FewRel 2.0: Towards More Challenging Few-Shot Relation Classification | Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou | https://www.aclweb.org/anthology/D19-1649.pdf |
| 2019 | EMNLP | # optim-adadelta, arch-rnn, arch-lstm, arch-att, arch-copy, task-textclass, task-seq2seq | 0 | SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence | Jun-U Park, Sang-Ki Ko, Marco Cognetta, Yo-Sub Han | https://www.aclweb.org/anthology/D19-1677.pdf |
| 2019 | EMNLP | # optim-adam, train-parallel, arch-lstm, arch-att, pre-glove, pre-bert, loss-nce, task-textclass, task-seqlab, task-seq2seq | 0 | (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas | Dongyeop Kang, Varun Gangal, Eduard Hovy | https://www.aclweb.org/anthology/D19-1179.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-rnn, arch-gru, arch-cnn, arch-att, arch-selfatt, search-beam, task-spanlab, task-lm, task-seq2seq | 1 | Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation | Ze Yang, Can Xu, Wei Wu, Zhoujun Li | https://www.aclweb.org/anthology/D19-1512.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, task-spanlab, task-seq2seq | 0 | DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs | Yi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee | https://www.aclweb.org/anthology/D19-1194.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-rnn, arch-cnn, arch-att, arch-transformer, task-condlm, task-seq2seq | 0 | Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations | Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, Pere-Pau Vázquez | https://www.aclweb.org/anthology/D19-3026.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-coverage, search-beam, task-extractive, task-condlm, task-seq2seq | 0 | Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes | Litton J Kurisinkel, Nancy Chen | https://www.aclweb.org/anthology/D19-1638.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, norm-gradient, pool-max, arch-rnn, arch-gru, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-lm, task-seq2seq | 0 | Hierarchy Response Learning for Neural Conversation Generation | Bo Zhang, Xiaoming Zhang | https://www.aclweb.org/anthology/D19-1186.pdf |
| 2019 | EMNLP | # arch-att, latent-vae, task-seq2seq | 0 | Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials | Wonsuk Yang, Seungwon Yoon, Ada Carpenter, Jong Park | https://www.aclweb.org/anthology/D19-1293.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-textpair, task-spanlab | 1 | Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension | Daniel Andor, Luheng He, Kenton Lee, Emily Pitler | https://www.aclweb.org/anthology/D19-1609.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, pre-bert, task-textclass, task-seq2seq | 0 | HMEAE: Hierarchical Modular Event Argument Extraction | Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren | https://www.aclweb.org/anthology/D19-1584.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, pre-glove, task-seqlab, task-seq2seq, task-relation, task-tree | 0 | A Pilot Study for Chinese SQL Semantic Parsing | Qingkai Min, Yuefeng Shi, Yue Zhang | https://www.aclweb.org/anthology/D19-1377.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, pool-max, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-seq2seq, task-relation, task-alignment | 0 | Cross-lingual Structure Transfer for Relation and Event Extraction | Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss | https://www.aclweb.org/anthology/D19-1030.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, task-condlm, task-seq2seq | 0 | Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning | Toru Nishino, Shotaro Misawa, Ryuji Kano, Tomoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma | https://www.aclweb.org/anthology/D19-1315.pdf |
| 2019 | EMNLP | # arch-cnn, arch-att, arch-memo, arch-subword, pre-bert, adv-train, task-seqlab | 1 | OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction | Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun | https://www.aclweb.org/anthology/D19-3029.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, pool-max, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, task-textclass | 0 | Improving Distantly-Supervised Relation Extraction with Joint Label Embedding | Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang | https://www.aclweb.org/anthology/D19-1395.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, nondif-reinforce, task-extractive, task-lm, task-seq2seq | 0 | Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning | Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung | https://www.aclweb.org/anthology/D19-1303.pdf |
| 2019 | EMNLP | # optim-adam, norm-layer, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, latent-topic, task-lm, task-seq2seq | 1 | Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations | Peixiang Zhong, Di Wang, Chunyan Miao | https://www.aclweb.org/anthology/D19-1016.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-att, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, loss-nce, task-seqlab, task-relation, task-alignment | 0 | Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing | Tao Meng, Nanyun Peng, Kai-Wei Chang | https://www.aclweb.org/anthology/D19-1103.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, train-augment, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-bert, pre-use, task-textpair, task-lm, task-seq2seq, task-relation | 0 | Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange | Steven Y. Feng, Aaron W. Li, Jesse Hoey | https://www.aclweb.org/anthology/D19-1272.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 0 | Core Semantic First: A Top-down Approach for AMR Parsing | Deng Cai, Wai Lam | https://www.aclweb.org/anthology/D19-1393.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-lm | 1 | Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text | Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh Chawla, Meng Jiang | https://www.aclweb.org/anthology/D19-1029.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt | 2 | Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning | Khanh Nguyen, Hal Daumé III | https://www.aclweb.org/anthology/D19-1063.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree | 1 | JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation | Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1546.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-gradient, arch-gnn, arch-att, arch-selfatt, arch-transformer, pre-bert, task-spanlab, task-tree | 0 | NumNet: Machine Reading Comprehension with Numerical Reasoning | Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu | https://www.aclweb.org/anthology/D19-1251.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, task-lm, task-seq2seq | 0 | Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator | Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu, Shou-De Lin | https://www.aclweb.org/anthology/D19-3008.pdf |
| 2019 | EMNLP | # optim-adam, optim-amsgrad, reg-dropout, train-parallel, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-memo, arch-copy, arch-subword, comb-ensemble, pre-bert, task-lm, task-seq2seq | 1 | Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation | Liliang Ren, Jianmo Ni, Julian McAuley | https://www.aclweb.org/anthology/D19-1196.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-att, arch-coverage, comb-ensemble, pre-bert, task-extractive, task-seq2seq | 0 | Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization | Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard Hovy | https://www.aclweb.org/anthology/D19-1327.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq, task-graph | 0 | Enhancing AMR-to-Text Generation with Dual Graph Representations | Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1314.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, nondif-reinforce, task-spanlab, task-condlm, task-seq2seq | 0 | Let’s Ask Again: Refine Network for Automatic Question Generation | Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran | https://www.aclweb.org/anthology/D19-1326.pdf |
| 2019 | EMNLP | # arch-lstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-bert, task-textclass, task-seq2seq | 0 | Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification | Vivian Lai, Zheng Cai, Chenhao Tan | https://www.aclweb.org/anthology/D19-1046.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, activ-tanh, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, task-lm, task-seq2seq, task-relation | 1 | Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks | Binxuan Huang, Kathleen Carley | https://www.aclweb.org/anthology/D19-1549.pdf |
| 2019 | EMNLP | # train-transfer, arch-lstm, arch-att, adv-feat, adv-train, latent-topic, task-textclass, task-seq2seq, task-lexicon, task-alignment | 0 | Topics to Avoid: Demoting Latent Confounds in Text Classification | Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov | https://www.aclweb.org/anthology/D19-1425.pdf |
| 2019 | EMNLP | # train-mtl, arch-rnn, arch-lstm, arch-att, arch-memo, task-relation, task-tree | 0 | Towards Making a Dependency Parser See | Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/D19-1160.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-fasttext, pre-glove, pre-use, task-textclass, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Semantic Relatedness Based Re-ranker for Text Spotting | Ahmed Sabir, Francesc Moreno, Lluís Padró | https://www.aclweb.org/anthology/D19-1346.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, comb-ensemble, search-viterbi, pre-fasttext, pre-glove, struct-crf, task-seqlab, task-lm, task-seq2seq, task-lexicon | 0 | Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition | Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung | https://www.aclweb.org/anthology/D19-1360.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-gru, arch-att, adv-train, latent-vae, task-lm, task-seq2seq | 0 | Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training | Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin | https://www.aclweb.org/anthology/D19-1366.pdf |
| 2019 | EMNLP | # optim-adadelta, optim-projection, reg-dropout, arch-rnn, arch-gru, arch-att, pre-glove, struct-crf, task-textclass, task-seq2seq | 0 | Predicting Discourse Structure using Distant Supervision from Sentiment | Patrick Huber, Giuseppe Carenini | https://www.aclweb.org/anthology/D19-1235.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq | 0 | Encode, Tag, Realize: High-Precision Text Editing | Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn | https://www.aclweb.org/anthology/D19-1510.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-skipthought, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Transfer Fine-Tuning: A BERT Case Study | Yuki Arase, Jun’ichi Tsujii | https://www.aclweb.org/anthology/D19-1542.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-gnn, arch-cnn, arch-att, latent-topic, loss-svd | 0 | Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network | Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/D19-1494.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass | 0 | Label Embedding using Hierarchical Structure of Labels for Twitter Classification | Taro Miyazaki, Kiminobu Makino, Yuka Takei, Hiroki Okamoto, Jun Goto | https://www.aclweb.org/anthology/D19-1660.pdf |
| 2019 | EMNLP | # train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, task-textclass, task-relation | 0 | Hierarchical Attention Prototypical Networks for Few-Shot Text Classification | Shengli Sun, Qingfeng Sun, Kevin Zhou, Tengchao Lv | https://www.aclweb.org/anthology/D19-1045.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-elmo, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semantic Role Labeling with Iterative Structure Refinement | Chunchuan Lyu, Shay B. Cohen, Ivan Titov | https://www.aclweb.org/anthology/D19-1099.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, task-textclass | 0 | A Label Informative Wide & Deep Classifier for Patents and Papers | Muyao Niu, Jie Cai | https://www.aclweb.org/anthology/D19-1344.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-lstm, arch-att, pre-bert, task-lm, task-seq2seq | 0 | The Woman Worked as a Babysitter: On Biases in Language Generation | Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng | https://www.aclweb.org/anthology/D19-1339.pdf |
| 2019 | EMNLP | # optim-projection, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-copy, pre-bert, task-seq2seq | 0 | Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set | Katharina Kann, Kyunghyun Cho, Samuel R. Bowman | https://www.aclweb.org/anthology/D19-1329.pdf |
| 2019 | EMNLP | # optim-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, nondif-reinforce | 0 | Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews | Miao Fan, Chao Feng, Mingming Sun, Ping Li | https://www.aclweb.org/anthology/D19-1177.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, task-condlm | 1 | Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts | Sandro Pezzelle, Raquel Fernández | https://www.aclweb.org/anthology/D19-1285.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 0 | Towards Knowledge-Based Recommender Dialog System | Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang | https://www.aclweb.org/anthology/D19-1189.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-seq2seq, task-tree | 0 | Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation | Dongjun Lee | https://www.aclweb.org/anthology/D19-1624.pdf |
| 2019 | EMNLP | # init-glorot, train-transfer, pool-mean, arch-gru, arch-att, pre-bert, task-seq2seq | 0 | WSLLN:Weakly Supervised Natural Language Localization Networks | Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong | https://www.aclweb.org/anthology/D19-1157.pdf |
| 2019 | EMNLP | # optim-adagrad, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq, task-graph | 0 | Concept Pointer Network for Abstractive Summarization | Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou | https://www.aclweb.org/anthology/D19-1304.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, train-transfer, arch-rnn, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq | 0 | Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification | Oren Melamud, Mihaela Bornea, Ken Barker | https://www.aclweb.org/anthology/D19-1401.pdf |
| 2019 | EMNLP | # reg-dropout, reg-labelsmooth, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, task-textclass, task-lm, task-seq2seq | 3 | Towards Linear Time Neural Machine Translation with Capsule Networks | Mingxuan Wang | https://www.aclweb.org/anthology/D19-1074.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq | 0 | Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag | Xinyu Xiao, Lingfeng Wang, Bin Fan, Shinming Xiang, Chunhong Pan | https://www.aclweb.org/anthology/D19-1213.pdf |
| 2019 | EMNLP | # optim-sgd, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, struct-crf, task-seqlab, task-lexicon | 0 | What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis | Xiaolei Huang, Jonathan May, Nanyun Peng | https://www.aclweb.org/anthology/D19-1672.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-lstm, arch-cnn, arch-att, task-seq2seq, task-alignment | 0 | A Deep Neural Information Fusion Architecture for Textual Network Embeddings | Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang | https://www.aclweb.org/anthology/D19-1476.pdf |
| 2019 | EMNLP | # train-mll, train-augment, arch-rnn, arch-cnn, arch-att, arch-coverage, arch-subword, pre-fasttext, task-relation | 0 | Weakly Supervised Multilingual Causality Extraction from Wikipedia | Chikara Hashimoto | https://www.aclweb.org/anthology/D19-1296.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Shallow Domain Adaptive Embeddings for Sentiment Analysis | Prathusha K Sarma, Yingyu Liang, William Sethares | https://www.aclweb.org/anthology/D19-1557.pdf |
| 2019 | EMNLP | # norm-gradient, arch-rnn, arch-lstm, arch-att, struct-crf, task-seqlab, task-seq2seq | 0 | Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model | Hyun-Je Song, Seong-Bae Park | https://www.aclweb.org/anthology/D19-1150.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-memo, arch-transformer | 0 | Video Dialog via Progressive Inference and Cross-Transformer | Weike Jin, Zhou Zhao, Mao Gu, Jun Xiao, Furu Wei, Yueting Zhuang | https://www.aclweb.org/anthology/D19-1217.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq | 0 | ParaQG: A System for Generating Questions and Answers from Paragraphs | Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li | https://www.aclweb.org/anthology/D19-3030.pdf |
| 2019 | EMNLP | # train-mtl, train-transfer, arch-lstm, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq | 0 | Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings | Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/D19-1147.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, pre-word2vec, latent-vae, latent-topic | 1 | Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification | Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li | https://www.aclweb.org/anthology/D19-1488.pdf |
| 2019 | EMNLP | # reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, struct-crf, adv-train | 0 | Emotion Detection with Neural Personal Discrimination | Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang | https://www.aclweb.org/anthology/D19-1552.pdf |
| 2019 | EMNLP | # arch-att, arch-transformer, task-seq2seq, task-relation, task-alignment | 1 | EASSE: Easier Automatic Sentence Simplification Evaluation | Fernando Alva-Manchego, Louis Martin, Carolina Scarton, Lucia Specia | https://www.aclweb.org/anthology/D19-3009.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, comb-ensemble, pre-bert, task-lm | 1 | How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG | Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/D19-1335.pdf |
| 2019 | EMNLP | # optim-adam, norm-gradient, arch-lstm, arch-att, adv-train, task-lm, task-seq2seq | 0 | Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora | Canasai Kruengkrai | https://www.aclweb.org/anthology/D19-1659.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze | 4 | Revealing the Dark Secrets of BERT | Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky | https://www.aclweb.org/anthology/D19-1445.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-bert, adv-examp, task-textpair, task-spanlab, task-lm, task-seq2seq, task-tree | 2 | CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text | Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton | https://www.aclweb.org/anthology/D19-1458.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-att, arch-bilinear, pre-glove, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq | 3 | Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning | Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi | https://www.aclweb.org/anthology/D19-1243.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-gru, arch-att, pre-word2vec, task-lm, task-condlm, task-seq2seq | 0 | Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents | Jack Hessel, Lillian Lee, David Mimno | https://www.aclweb.org/anthology/D19-1210.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-viterbi, struct-crf, task-seqlab | 1 | Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction | Shun Zheng, Wei Cao, Wei Xu, Jiang Bian | https://www.aclweb.org/anthology/D19-1032.pdf |
| 2019 | EMNLP | # reg-dropout, pool-max, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-word2vec, adv-train, task-textclass, task-textpair | 0 | Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction | Yuyun Huang, Jinhua Du | https://www.aclweb.org/anthology/D19-1037.pdf |
| 2019 | EMNLP | # train-active, arch-att, pre-glove, pre-bert, task-lm, task-seq2seq | 1 | Automatic Argument Quality Assessment - New Datasets and Methods | Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim | https://www.aclweb.org/anthology/D19-1564.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 1 | Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation | Xin Tan, Longyin Zhang, Deyi Xiong, Guodong Zhou | https://www.aclweb.org/anthology/D19-1168.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt | 0 | Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems | Jia Li, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1128.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-elmo, task-textpair, task-seq2seq | 0 | Query-focused Scenario Construction | Su Wang, Greg Durrett, Katrin Erk | https://www.aclweb.org/anthology/D19-1273.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-viterbi, struct-crf, latent-vae, task-seqlab, task-seq2seq | 1 | Learning Explicit and Implicit Structures for Targeted Sentiment Analysis | Hao Li, Wei Lu | https://www.aclweb.org/anthology/D19-1550.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, reg-patience, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq, task-relation | 6 | SciBERT: A Pretrained Language Model for Scientific Text | Iz Beltagy, Kyle Lo, Arman Cohan | https://www.aclweb.org/anthology/D19-1371.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, arch-transformer, task-lm, task-seq2seq | 0 | Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset | Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik | https://www.aclweb.org/anthology/D19-1459.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm, task-seq2seq | 2 | Certified Robustness to Adversarial Word Substitutions | Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang | https://www.aclweb.org/anthology/D19-1423.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, pre-glove, task-lm, task-seq2seq, task-graph | 0 | Sentence-Level Content Planning and Style Specification for Neural Text Generation | Xinyu Hua, Lu Wang | https://www.aclweb.org/anthology/D19-1055.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, pool-max, arch-lstm, arch-cnn, arch-att, adv-train | 0 | Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data | Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun | https://www.aclweb.org/anthology/D19-1021.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-elmo, task-seq2seq | 0 | Open Domain Web Keyphrase Extraction Beyond Language Modeling | Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk | https://www.aclweb.org/anthology/D19-1521.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, pool-max, arch-lstm, arch-bilstm, arch-att, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, task-seqlab, task-spanlab | 3 | Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases | Christopher Clark, Mark Yatskar, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1418.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-lstm, arch-att, pre-bert, task-textpair, task-spanlab | 0 | GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level | Zixian Huang, Yulin Shen, Xiao Li, Yu’ang Wei, Gong Cheng, Lin Zhou, Xinyu Dai, Yuzhong Qu | https://www.aclweb.org/anthology/D19-1597.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, norm-batch, norm-gradient, pool-max, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-cloze, task-relation | 2 | FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow | Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard Hovy | https://www.aclweb.org/anthology/D19-1437.pdf |
| 2019 | EMNLP | # optim-projection, train-augment, pool-mean, arch-rnn, arch-lstm, arch-att, task-tree | 2 | Executing Instructions in Situated Collaborative Interactions | Alane Suhr, Claudia Yan, Jack Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi | https://www.aclweb.org/anthology/D19-1218.pdf |
| 2019 | EMNLP | # arch-att, task-textpair, task-spanlab, task-seq2seq | 0 | On the Importance of Delexicalization for Fact Verification | Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu | https://www.aclweb.org/anthology/D19-1340.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, pre-word2vec, adv-train | 0 | Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction | Xiang Deng, Huan Sun | https://www.aclweb.org/anthology/D19-1039.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-augment, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, pre-glove, pre-bert, task-seq2seq, task-tree | 0 | Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions | Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev | https://www.aclweb.org/anthology/D19-1537.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, search-beam, pre-elmo, pre-bert, task-lm, task-seq2seq | 0 | Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints | Masaaki Nishino, Sho Takase, Tsutomu Hirao, Masaaki Nagata | https://www.aclweb.org/anthology/D19-1674.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mtl, arch-lstm, arch-att, pre-glove, latent-vae, latent-topic, task-seq2seq | 0 | Coupling Global and Local Context for Unsupervised Aspect Extraction | Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong | https://www.aclweb.org/anthology/D19-1465.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator | Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow | https://www.aclweb.org/anthology/D19-1390.pdf |
| 2019 | EMNLP | # arch-att, pre-elmo, pre-bert, task-lm, task-seq2seq | 0 | Higher-order Comparisons of Sentence Encoder Representations | Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard | https://www.aclweb.org/anthology/D19-1593.pdf |
| 2019 | EMNLP | # arch-rnn, arch-gru, arch-bigru, arch-gnn, arch-att, task-seq2seq | 0 | CaRe: Open Knowledge Graph Embeddings | Swapnil Gupta, Sreyash Kenkre, Partha Talukdar | https://www.aclweb.org/anthology/D19-1036.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, search-beam, nondif-reinforce, task-relation | 0 | Collaborative Policy Learning for Open Knowledge Graph Reasoning | Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren | https://www.aclweb.org/anthology/D19-1269.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, latent-topic, task-extractive, task-seq2seq | 0 | Subtopic-driven Multi-Document Summarization | Xin Zheng, Aixin Sun, Jing Li, Karthik Muthuswamy | https://www.aclweb.org/anthology/D19-1311.pdf |
| 2019 | EMNLP | # optim-adagrad, init-glorot, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-textpair, task-seq2seq | 1 | Induction Networks for Few-Shot Text Classification | Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun | https://www.aclweb.org/anthology/D19-1403.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-bilstm, arch-att, task-lm, task-seq2seq | 3 | Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training | Hila Gonen, Yoav Goldberg | https://www.aclweb.org/anthology/D19-1427.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, task-tree | 0 | Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL | Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li | https://www.aclweb.org/anthology/D19-1356.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, nondif-reinforce, loss-margin | 0 | Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning | Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao | https://www.aclweb.org/anthology/D19-1264.pdf |
| 2019 | EMNLP | # reg-patience, arch-rnn, arch-gru, arch-att, latent-vae, task-textpair, task-seq2seq | 0 | Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites | Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, Ivan P. Yamshchikov | https://www.aclweb.org/anthology/D19-1406.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seq2seq | 0 | Multi-Task Stance Detection with Sentiment and Stance Lexicons | Yingjie Li, Cornelia Caragea | https://www.aclweb.org/anthology/D19-1657.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, train-transfer, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon | 8 | 75 Languages, 1 Model: Parsing Universal Dependencies Universally | Dan Kondratyuk, Milan Straka | https://www.aclweb.org/anthology/D19-1279.pdf |
| 2019 | EMNLP | # optim-sgd, train-transfer, arch-rnn, arch-gru, arch-att, pre-word2vec, latent-vae, task-seq2seq | 0 | Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders | Zhangming Chan, Juntao Li, Xiaopeng Yang, Xiuying Chen, Wenpeng Hu, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1201.pdf |
| 2019 | EMNLP | # train-mtl, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-transformer, pre-bert | 1 | SUM-QE: a BERT-based Summary Quality Estimation Model | Stratos Xenouleas, Prodromos Malakasiotis, Marianna Apidianaki, Ion Androutsopoulos | https://www.aclweb.org/anthology/D19-1618.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-att, arch-subword, arch-transformer, search-beam, task-seq2seq | 2 | Context-Aware Monolingual Repair for Neural Machine Translation | Elena Voita, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/D19-1081.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, task-seq2seq, task-tree | 2 | Learning Programmatic Idioms for Scalable Semantic Parsing | Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1545.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-augment, arch-att, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-cloze | 1 | Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification | Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang | https://www.aclweb.org/anthology/D19-1496.pdf |
| 2019 | EMNLP | # train-transfer, arch-att, latent-topic, task-lm | 0 | Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech | Yuanfeng Song, Di Jiang, Weiwei Zhao, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang | https://www.aclweb.org/anthology/D19-3007.pdf |
| 2019 | EMNLP | # train-mtl, arch-lstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, pre-bert, task-relation | 0 | A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature | He Zhao, Zhunchen Luo, Chong Feng, Anqing Zheng, Xiaopeng Liu | https://www.aclweb.org/anthology/D19-1524.pdf |
| 2019 | EMNLP | # arch-att, loss-nce | 0 | Fine-Grained Evaluation for Entity Linking | Henry Rosales-Méndez, Aidan Hogan, Barbara Poblete | https://www.aclweb.org/anthology/D19-1066.pdf |
| 2019 | EMNLP | # reg-dropout, reg-stopping, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq | 1 | Joey NMT: A Minimalist NMT Toolkit for Novices | Julia Kreutzer, Joost Bastings, Stefan Riezler | https://www.aclweb.org/anthology/D19-3019.pdf |
| 2019 | EMNLP | # optim-projection, arch-att, arch-coverage, pre-bert, task-textpair, task-lm, task-tree | 0 | How well do NLI models capture verb veridicality? | Alexis Ross, Ellie Pavlick | https://www.aclweb.org/anthology/D19-1228.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze | 1 | Visualizing and Understanding the Effectiveness of BERT | Yaru Hao, Li Dong, Furu Wei, Ke Xu | https://www.aclweb.org/anthology/D19-1424.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, task-seq2seq, task-relation | 0 | Toward a Task of Feedback Comment Generation for Writing Learning | Ryo Nagata | https://www.aclweb.org/anthology/D19-1316.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-norm, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, task-lm, task-relation | 0 | Specializing Word Embeddings (for Parsing) by Information Bottleneck | Xiang Lisa Li, Jason Eisner | https://www.aclweb.org/anthology/D19-1276.pdf |
| 2019 | EMNLP | # arch-att, pre-word2vec, adv-train, task-seq2seq, task-relation, task-tree | 0 | Generating Modern Poetry Automatically in Finnish | Mika Hämäläinen, Khalid Alnajjar | https://www.aclweb.org/anthology/D19-1617.pdf |
| 2019 | EMNLP | # pool-max, arch-rnn, arch-cnn, arch-att, pre-word2vec, latent-topic, task-textclass | 0 | The Myth of Double-Blind Review Revisited: ACL vs. EMNLP | Cornelia Caragea, Ana Uban, Liviu P. Dinu | https://www.aclweb.org/anthology/D19-1236.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-residual, search-greedy, search-beam, latent-vae, task-textclass, task-condlm, task-seq2seq | 0 | Exploring Diverse Expressions for Paraphrase Generation | Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu | https://www.aclweb.org/anthology/D19-1313.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, pre-glove | 1 | Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots | Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu | https://www.aclweb.org/anthology/D19-1193.pdf |
| 2019 | EMNLP | # optim-sgd, init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, search-viterbi, struct-crf, task-seqlab, task-relation | 0 | Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph | Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei, Ting Chen | https://www.aclweb.org/anthology/D19-1508.pdf |
| 2019 | EMNLP | # reg-dropout, reg-stopping, reg-patience, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-bert, task-textclass, task-textpair, task-spanlab | 0 | MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims | Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen | https://www.aclweb.org/anthology/D19-1475.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Graph-based Deep Learning in Natural Language Processing | Shikhar Vashishth, Naganand Yadati, Partha Talukdar | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq | 1 | Neural Naturalist: Generating Fine-Grained Image Comparisons | Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge Belongie | https://www.aclweb.org/anthology/D19-1065.pdf |
| 2019 | EMNLP | # train-parallel, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq | 4 | Adaptively Sparse Transformers | Gonçalo M. Correia, Vlad Niculae, André F. T. Martins | https://www.aclweb.org/anthology/D19-1223.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-att, latent-topic, task-textpair | 0 | Neural Topic Model with Reinforcement Learning | Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He | https://www.aclweb.org/anthology/D19-1350.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-examp, adv-train, task-textpair, task-lm | 0 | A Logic-Driven Framework for Consistency of Neural Models | Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar | https://www.aclweb.org/anthology/D19-1405.pdf |
| 2019 | EMNLP | # optim-sgd, optim-projection, init-glorot, arch-cnn, arch-att, arch-bilinear, comb-ensemble, loss-margin, task-textpair | 0 | Representation Learning with Ordered Relation Paths for Knowledge Graph Completion | Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang | https://www.aclweb.org/anthology/D19-1268.pdf |
| 2019 | EMNLP | # optim-adam, optim-adadelta, optim-projection, init-glorot, reg-dropout, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-residual, arch-bilinear, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-seq2seq, task-relation, task-tree | 0 | Syntax-Enhanced Self-Attention-Based Semantic Role Labeling | Yue Zhang, Rui Wang, Luo Si | https://www.aclweb.org/anthology/D19-1057.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-cnn, arch-att, arch-memo, arch-copy, task-extractive, task-seq2seq | 4 | Neural Text Summarization: A Critical Evaluation | Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher | https://www.aclweb.org/anthology/D19-1051.pdf |
| 2019 | EMNLP | # arch-att, arch-coverage, pre-word2vec | 0 | A Dataset of General-Purpose Rebuttal | Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim | https://www.aclweb.org/anthology/D19-1561.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq | 1 | Can You Unpack That? Learning to Rewrite Questions-in-Context | Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber | https://www.aclweb.org/anthology/D19-1605.pdf |
| 2019 | EMNLP | # optim-adam, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-spanlab, task-seq2seq, task-alignment | 1 | Hint-Based Training for Non-Autoregressive Machine Translation | Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1573.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Detecting and Reducing Bias in a High Stakes Domain | Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown | https://www.aclweb.org/anthology/D19-1483.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-labelsmooth, norm-layer, norm-gradient, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-subword, arch-transformer, search-beam, pre-bert, task-lm, task-seq2seq | 2 | Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention | Biao Zhang, Ivan Titov, Rico Sennrich | https://www.aclweb.org/anthology/D19-1083.pdf |
| 2019 | EMNLP | # train-mtl, pool-max, arch-lstm, arch-att, task-textpair, task-lm, task-seq2seq, task-relation | 0 | Query-focused Sentence Compression in Linear Time | Abram Handler, Brendan O’Connor | https://www.aclweb.org/anthology/D19-1612.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-spanlab | 0 | Machine Reading Comprehension Using Structural Knowledge Graph-aware Network | Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1602.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-textpair, task-seq2seq | 0 | You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP | Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández | https://www.aclweb.org/anthology/D19-1477.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, comb-ensemble, search-beam, nondif-reinforce, task-lm, task-condlm, task-seq2seq | 2 | Countering Language Drift via Visual Grounding | Jason Lee, Kyunghyun Cho, Douwe Kiela | https://www.aclweb.org/anthology/D19-1447.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-spanlab, task-lm, task-seq2seq, task-cloze | 1 | Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs | Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes | https://www.aclweb.org/anthology/D19-1428.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-gating, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-seq2seq, meta-arch | 1 | NeuronBlocks: Building Your NLP DNN Models Like Playing Lego | Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang | https://www.aclweb.org/anthology/D19-3028.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-dropout, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, search-beam, pre-elmo, pre-bert, task-spanlab, task-seq2seq, task-relation, task-tree | 1 | A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li | https://www.aclweb.org/anthology/D19-1170.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, loss-svd, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Neural Cross-Lingual Event Detection with Minimal Parallel Resources | Jian Liu, Yubo Chen, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1068.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, latent-topic, task-textclass, task-seqlab | 0 | Interpretable Relevant Emotion Ranking with Event-Driven Attention | Yang Yang, Deyu Zhou, Yulan He, Meng Zhang | https://www.aclweb.org/anthology/D19-1017.pdf |
| 2019 | EMNLP | # arch-att, comb-ensemble, pre-bert, task-textpair, task-spanlab | 3 | Applying BERT to Document Retrieval with Birch | Zeynep Akkalyoncu Yilmaz, Shengjin Wang, Wei Yang, Haotian Zhang, Jimmy Lin | https://www.aclweb.org/anthology/D19-3004.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-bert, loss-nce, task-textpair, task-lm | 4 | KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning | Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren | https://www.aclweb.org/anthology/D19-1282.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, pre-skipthought, task-seq2seq | 0 | A Modular Architecture for Unsupervised Sarcasm Generation | Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/D19-1636.pdf |
| 2019 | EMNLP | # train-mll, arch-att, arch-subword, pre-fasttext, loss-svd, task-lexicon | 0 | Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages | Masud Moshtaghi | https://www.aclweb.org/anthology/D19-1076.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, struct-crf, task-textclass, task-tree | 0 | Reconstructing Capsule Networks for Zero-shot Intent Classification | Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y.S. Lam | https://www.aclweb.org/anthology/D19-1486.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-bert, struct-crf | 1 | A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding | Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu | https://www.aclweb.org/anthology/D19-1214.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, struct-crf, adv-train, task-seqlab, task-seq2seq | 3 | Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning | Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang | https://www.aclweb.org/anthology/D19-1466.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, search-viterbi, struct-crf, task-textclass, task-seqlab | 0 | Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network | Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu | https://www.aclweb.org/anthology/D19-1396.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, search-viterbi, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Leveraging Medical Literature for Section Prediction in Electronic Health Records | Sara Rosenthal, Ken Barker, Zhicheng Liang | https://www.aclweb.org/anthology/D19-1492.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-gru, arch-att, task-lm, task-seq2seq | 0 | How to Build User Simulators to Train RL-based Dialog Systems | Weiyan Shi, Kun Qian, Xuewei Wang, Zhou Yu | https://www.aclweb.org/anthology/D19-1206.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, arch-energy, pre-bert, task-spanlab | 4 | Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering | Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang | https://www.aclweb.org/anthology/D19-1599.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, latent-topic, task-lm | 0 | A Hierarchical Location Prediction Neural Network for Twitter User Geolocation | Binxuan Huang, Kathleen Carley | https://www.aclweb.org/anthology/D19-1480.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-elmo, pre-bert, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq, task-cloze | 6 | Text Summarization with Pretrained Encoders | Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/D19-1387.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-stopping, train-mll, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, task-spanlab, task-lm, task-seq2seq | 1 | Retrofitting Contextualized Word Embeddings with Paraphrases | Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang | https://www.aclweb.org/anthology/D19-1113.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-seqlab, task-relation | 0 | Talk2Car: Taking Control of Your Self-Driving Car | Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens | https://www.aclweb.org/anthology/D19-1215.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-att, arch-copy, arch-coverage, task-seq2seq, task-tree | 0 | NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions | Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim | https://www.aclweb.org/anthology/D19-1262.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, task-spanlab, task-seq2seq | 0 | Question-type Driven Question Generation | Wenjie Zhou, Minghua Zhang, Yunfang Wu | https://www.aclweb.org/anthology/D19-1622.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-augment, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq, task-alignment | 0 | A Discriminative Neural Model for Cross-Lingual Word Alignment | Elias Stengel-Eskin, Tzu-ray Su, Matt Post, Benjamin Van Durme | https://www.aclweb.org/anthology/D19-1084.pdf |
| 2019 | EMNLP | # arch-cnn, arch-att, pre-fasttext, pre-glove, pre-bert, loss-nce, task-textclass | 0 | An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction | Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars | https://www.aclweb.org/anthology/D19-1131.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-tree | 1 | What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering | Tushar Khot, Ashish Sabharwal, Peter Clark | https://www.aclweb.org/anthology/D19-1281.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, struct-cfg, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree | 0 | PaLM: A Hybrid Parser and Language Model | Hao Peng, Roy Schwartz, Noah A. Smith | https://www.aclweb.org/anthology/D19-1376.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-bert, struct-crf, task-extractive, task-seq2seq, task-relation | 0 | Extractive Summarization of Long Documents by Combining Global and Local Context | Wen Xiao, Giuseppe Carenini | https://www.aclweb.org/anthology/D19-1298.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-gru, arch-att, pre-glove, latent-vae, task-textpair, task-seq2seq | 0 | Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder | Li Du, Xiao Ding, Ting Liu, Zhongyang Li | https://www.aclweb.org/anthology/D19-1270.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, arch-att, arch-bilinear, task-relation, task-tree | 0 | Dependency Parsing for Spoken Dialog Systems | Sam Davidson, Dian Yu, Zhou Yu | https://www.aclweb.org/anthology/D19-1162.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-selfatt | 0 | Neural News Recommendation with Multi-Head Self-Attention | Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/D19-1671.pdf |
| 2019 | EMNLP | # train-transfer, train-augment, arch-att, arch-copy, arch-coverage, arch-transformer, task-seq2seq | 0 | Abstract Text Summarization: A Low Resource Challenge | Shantipriya Parida, Petr Motlicek | https://www.aclweb.org/anthology/D19-1616.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # reg-dropout, reg-norm, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training | Giannis Karamanolakis, Daniel Hsu, Luis Gravano | https://www.aclweb.org/anthology/D19-1468.pdf |
| 2019 | EMNLP | # reg-norm, train-mll, arch-att, struct-crf, struct-cfg, latent-vae, task-seqlab, task-tree | 1 | Text2Math: End-to-end Parsing Text into Math Expressions | Yanyan Zou, Wei Lu | https://www.aclweb.org/anthology/D19-1536.pdf |
| 2019 | EMNLP | # optim-projection, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, task-seq2seq, task-tree | 0 | Look-up and Adapt: A One-shot Semantic Parser | Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell | https://www.aclweb.org/anthology/D19-1104.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, arch-att, pre-glove, pre-elmo, pre-bert, task-seqlab, task-lm, task-cloze | 1 | BERT for Coreference Resolution: Baselines and Analysis | Mandar Joshi, Omer Levy, Luke Zettlemoyer, Daniel Weld | https://www.aclweb.org/anthology/D19-1588.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-cnn, arch-att, comb-ensemble, pre-bert, struct-crf | 0 | Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge | Kazuma Kadowaki, Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer | https://www.aclweb.org/anthology/D19-1590.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-decay, norm-layer, train-mll, train-parallel, arch-rnn, arch-att, arch-subword, arch-transformer, search-greedy, search-beam, pre-bert, task-lm, task-seq2seq, task-cloze | 2 | Mask-Predict: Parallel Decoding of Conditional Masked Language Models | Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1633.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, adv-train, task-lm, task-seq2seq | 0 | Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification | Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun | https://www.aclweb.org/anthology/D19-1553.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, task-seq2seq | 0 | Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space | Kawin Ethayarajh | https://www.aclweb.org/anthology/D19-1354.pdf |
| 2019 | EMNLP | # reg-dropout, train-active, arch-att, pre-bert, task-tree | 0 | Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study | Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih | https://www.aclweb.org/anthology/D19-1547.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-cloze | 3 | Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs | Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic, Samuel R. Bowman | https://www.aclweb.org/anthology/D19-1286.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, reg-norm, arch-lstm, arch-att, arch-memo, nondif-reinforce, latent-topic | 0 | Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning | Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou | https://www.aclweb.org/anthology/D19-1560.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, norm-layer, pool-mean, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-textclass, task-textpair | 0 | Learning Invariant Representations of Social Media Users | Nicholas Andrews, Marcus Bishop | https://www.aclweb.org/anthology/D19-1178.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, pre-word2vec, pre-glove, pre-elmo, adv-examp, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 8 | Universal Adversarial Triggers for Attacking and Analyzing NLP | Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh | https://www.aclweb.org/anthology/D19-1221.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, arch-coverage, pre-bert, nondif-reinforce, latent-vae, task-spanlab, task-tree | 2 | A Discrete Hard EM Approach for Weakly Supervised Question Answering | Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1284.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, task-seq2seq, task-graph | 2 | VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling | Andrea Di Fabio, Simone Conia, Roberto Navigli | https://www.aclweb.org/anthology/D19-1058.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, pre-word2vec, pre-fasttext, task-textclass, task-seq2seq | 0 | ProSeqo: Projection Sequence Networks for On-Device Text Classification | Zornitsa Kozareva, Sujith Ravi | https://www.aclweb.org/anthology/D19-1402.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, struct-cfg, task-lm, task-seq2seq, task-cloze, task-tree | 0 | Tree Transformer: Integrating Tree Structures into Self-Attention | Yaushian Wang, Hung-Yi Lee, Yun-Nung Chen | https://www.aclweb.org/anthology/D19-1098.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-transformer, comb-ensemble, pre-bert, task-lm, task-condlm, task-cloze, task-tree | 11 | Fusion of Detected Objects in Text for Visual Question Answering | Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter | https://www.aclweb.org/anthology/D19-1219.pdf |
| 2019 | EMNLP | # optim-projection, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, task-textclass, task-extractive, task-lm, task-condlm, task-seq2seq | 0 | From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining | Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid, Chloé Clavel | https://www.aclweb.org/anthology/D19-1556.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att, arch-coverage, pre-glove, pre-bert, latent-topic, task-spanlab | 1 | Question Answering for Privacy Policies: Combining Computational and Legal Perspectives | Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton, Norman Sadeh | https://www.aclweb.org/anthology/D19-1500.pdf |
| 2019 | EMNLP | # train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-bert, task-seqlab, task-lm, task-relation | 3 | Small and Practical BERT Models for Sequence Labeling | Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li, Amelia Archer | https://www.aclweb.org/anthology/D19-1374.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, train-mtl, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-coverage, pre-word2vec, latent-topic, task-spanlab, task-seq2seq | 0 | A Neural Citation Count Prediction Model based on Peer Review Text | Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen | https://www.aclweb.org/anthology/D19-1497.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq | 0 | Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains | Wei Shi, Vera Demberg | https://www.aclweb.org/anthology/D19-1586.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, pre-bert, task-extractive, task-seq2seq | 1 | Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization | Siyao Li, Deren Lei, Pengda Qin, William Yang Wang | https://www.aclweb.org/anthology/D19-1623.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-recnn, arch-cnn, arch-att, arch-memo, arch-copy, comb-ensemble, pre-word2vec, task-tree | 0 | Tree-structured Decoding for Solving Math Word Problems | Qianying Liu, Wenyv Guan, Sujian Li, Daisuke Kawahara | https://www.aclweb.org/anthology/D19-1241.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, comb-ensemble, search-beam, pre-bert, task-lm, task-seq2seq | 0 | Exploiting Monolingual Data at Scale for Neural Machine Translation | Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1430.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, pre-use, loss-triplet, task-textpair | 5 | Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks | Nils Reimers, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1410.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, pre-use, adv-train, loss-cca, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze | 0 | Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection | Nina Poerner, Hinrich Schütze | https://www.aclweb.org/anthology/D19-1173.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, arch-att, arch-selfatt, pre-bert, task-spanlab, task-lm | 3 | Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning | Pradeep Dasigi, Nelson F. Liu, Ana Marasović, Noah A. Smith, Matt Gardner | https://www.aclweb.org/anthology/D19-1606.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, pre-word2vec, pre-elmo, task-lm, task-seq2seq, task-tree | 0 | A Unified Neural Coherence Model | Han Cheol Moon, Tasnim Mohiuddin, Shafiq Joty, Chi Xu | https://www.aclweb.org/anthology/D19-1231.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, latent-topic, task-tree | 0 | Negative Focus Detection via Contextual Attention Mechanism | Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, AiTi Aw | https://www.aclweb.org/anthology/D19-1230.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, task-seq2seq, task-relation, task-alignment | 0 | Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank | Meishan Zhang, Yue Zhang, Guohong Fu | https://www.aclweb.org/anthology/D19-1092.pdf |
| 2019 | EMNLP | # arch-gru, arch-att, arch-subword, arch-transformer, search-beam, task-seq2seq | 2 | Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation | Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang | https://www.aclweb.org/anthology/D19-1137.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-spanlab, task-seq2seq, task-tree | 0 | Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs | Zhibin Liu, Zheng-Yu Niu, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/D19-1187.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, task-seqlab, task-seq2seq | 3 | Multi-Granularity Self-Attention for Neural Machine Translation | Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu | https://www.aclweb.org/anthology/D19-1082.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm | 0 | Neural Duplicate Question Detection without Labeled Training Data | Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1171.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-energy, search-sampling, pre-glove, struct-crf, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Autoregressive Text Generation Beyond Feedback Loops | Florian Schmidt, Stephan Mandt, Thomas Hofmann | https://www.aclweb.org/anthology/D19-1338.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-lm, task-condlm, task-seq2seq | 1 | Mixture Content Selection for Diverse Sequence Generation | Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/D19-1308.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, loss-nce, task-extractive, task-lm | 0 | Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization | Daniel Deutsch, Dan Roth | https://www.aclweb.org/anthology/D19-1386.pdf |
| 2019 | EMNLP | # arch-att, arch-transformer, pre-bert, task-lm, task-cloze | 1 | TalkDown: A Corpus for Condescension Detection in Context | Zijian Wang, Christopher Potts | https://www.aclweb.org/anthology/D19-1385.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, optim-adadelta, reg-decay, arch-lstm, arch-recnn, arch-treelstm, arch-att, arch-coverage, search-beam, pre-glove, struct-cfg, nondif-reinforce, latent-vae, task-textpair, task-lm, task-condlm | 5 | Cooperative Learning of Disjoint Syntax and Semantics | Serhii Havrylov, Germán Kruszewski, Armand Joulin | https://www.aclweb.org/anthology/N19-1115.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-cnn, arch-att, arch-subword, arch-transformer, task-seq2seq | 4 | Positional Encoding to Control Output Sequence Length | Sho Takase, Naoaki Okazaki | https://www.aclweb.org/anthology/N19-1401.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, arch-rnn, arch-att, arch-coverage, arch-subword, nondif-straightthrough, task-seq2seq | 1 | Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders | Cory Shain, Micha Elsner | https://www.aclweb.org/anthology/N19-1007.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, search-beam, pre-glove, nondif-reinforce, latent-vae, task-seq2seq, task-tree | 4 | UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering | Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku | https://www.aclweb.org/anthology/N19-1031.pdf |
| 2019 | NAA-CL | # arch-att | 0 | Box of Lies: Multimodal Deception Detection in Dialogues | Felix Soldner, Verónica Pérez-Rosas, Rada Mihalcea | https://www.aclweb.org/anthology/N19-1175.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mtl, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, task-lm, task-tree | 1 | Neural Constituency Parsing of Speech Transcripts | Paria Jamshid Lou, Yufei Wang, Mark Johnson | https://www.aclweb.org/anthology/N19-1282.pdf |
| 2019 | NAA-CL | # optim-adam, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, pre-glove, latent-vae | 3 | Be Consistent! Improving Procedural Text Comprehension using Label Consistency | Xinya Du, Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie | https://www.aclweb.org/anthology/N19-1244.pdf |
| 2019 | NAA-CL | # reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, task-textpair, task-seq2seq | 1 | Simple Attention-Based Representation Learning for Ranking Short Social Media Posts | Peng Shi, Jinfeng Rao, Jimmy Lin | https://www.aclweb.org/anthology/N19-1229.pdf |
| 2019 | NAA-CL | # reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, search-beam, task-lm, task-seq2seq, task-tree | 19 | Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout | Hao Tan, Licheng Yu, Mohit Bansal | https://www.aclweb.org/anthology/N19-1268.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, struct-crf, task-textclass, task-lm, task-seq2seq | 5 | Improving Lemmatization of Non-Standard Languages with Joint Learning | Enrique Manjavacas, Ákos Kádár, Mike Kestemont | https://www.aclweb.org/anthology/N19-1153.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-glove, pre-elmo, task-textpair, task-lm, task-condlm, task-seq2seq, task-tree | 1 | Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting | J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme | https://www.aclweb.org/anthology/N19-1090.pdf |
| 2019 | NAA-CL | # optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, search-beam | 19 | MuST-C: a Multilingual Speech Translation Corpus | Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, Marco Turchi | https://www.aclweb.org/anthology/N19-1202.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, train-mll, arch-att, arch-subword, pre-word2vec, task-condlm, task-seq2seq, task-lexicon | 1 | Cross-lingual Visual Verb Sense Disambiguation | Spandana Gella, Desmond Elliott, Frank Keller | https://www.aclweb.org/anthology/N19-1200.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon, task-alignment | 12 | Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog | Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis | https://www.aclweb.org/anthology/N19-1380.pdf |
| 2019 | NAA-CL | # pool-mean, arch-lstm, arch-cnn, arch-att, arch-selfatt, comb-ensemble, pre-fasttext, pre-glove, struct-crf, loss-cca, loss-margin, task-textclass | 1 | Ranking-Based Autoencoder for Extreme Multi-label Classification | Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou | https://www.aclweb.org/anthology/N19-1289.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, train-parallel, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-tree | 0 | Understanding and Improving Hidden Representations for Neural Machine Translation | Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi | https://www.aclweb.org/anthology/N19-1046.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, struct-crf, task-textclass, task-seq2seq | 3 | HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition | Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/N19-1037.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-glove, task-textclass, task-textpair, task-condlm, task-seq2seq | 59 | Attention is not Explanation | Sarthak Jain, Byron C. Wallace | https://www.aclweb.org/anthology/N19-1357.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mll, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, struct-crf, latent-vae, loss-svd, task-seqlab, task-lm | 1 | Misspelling Oblivious Word Embeddings | Aleksandra Piktus, Necati Bora Edizel, Piotr Bojanowski, Edouard Grave, Rui Ferreira, Fabrizio Silvestri | https://www.aclweb.org/anthology/N19-1326.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-decay, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, task-spanlab, task-seq2seq | 0 | Online Distilling from Checkpoints for Neural Machine Translation | Hao-Ran Wei, Shujian Huang, Ran Wang, Xin-yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/N19-1192.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-seq2seq, task-tree | 1 | PoMo: Generating Entity-Specific Post-Modifiers in Context | Jun Seok Kang, Robert Logan, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian | https://www.aclweb.org/anthology/N19-1089.pdf |
| 2019 | NAA-CL | # reg-norm, arch-lstm, arch-bilstm, arch-att, search-viterbi, struct-hmm, struct-crf, latent-vae, task-seqlab | 4 | Better Modeling of Incomplete Annotations for Named Entity Recognition | Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li | https://www.aclweb.org/anthology/N19-1079.pdf |
| 2019 | NAA-CL | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, latent-vae, task-lm | 5 | Document-Level N-ary Relation Extraction with Multiscale Representation Learning | Robin Jia, Cliff Wong, Hoifung Poon | https://www.aclweb.org/anthology/N19-1370.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, pre-glove | 0 | Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition | Jumayel Islam, Robert E. Mercer, Lu Xiao | https://www.aclweb.org/anthology/N19-1137.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues | Sungjoon Park, Donghyun Kim, Alice Oh | https://www.aclweb.org/anthology/N19-1148.pdf |
| 2019 | NAA-CL | # reg-dropout, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq | 3 | How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection | Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang | https://www.aclweb.org/anthology/N19-1352.pdf |
| 2019 | NAA-CL | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, latent-vae, task-seq2seq, task-relation | 1 | Detecting Cybersecurity Events from Noisy Short Text | Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli | https://www.aclweb.org/anthology/N19-1138.pdf |
| 2019 | NAA-CL | # optim-adam, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, task-textclass, task-spanlab, task-lm, task-cloze | 19 | BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis | Hu Xu, Bing Liu, Lei Shu, Philip Yu | https://www.aclweb.org/anthology/N19-1242.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, task-lm | 3 | Recursive Routing Networks: Learning to Compose Modules for Language Understanding | Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen | https://www.aclweb.org/anthology/N19-1365.pdf |
| 2019 | NAA-CL | # optim-adam, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, search-beam, task-lm, task-seq2seq, task-alignment | 3 | Curriculum Learning for Domain Adaptation in Neural Machine Translation | Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh | https://www.aclweb.org/anthology/N19-1189.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, pre-glove, struct-crf, task-lm, task-seq2seq | 0 | Early Rumour Detection | Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau | https://www.aclweb.org/anthology/N19-1163.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-decay, norm-batch, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, task-lm, task-seq2seq | 23 | Pre-training on high-resource speech recognition improves low-resource speech-to-text translation | Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, Sharon Goldwater | https://www.aclweb.org/anthology/N19-1006.pdf |
| 2019 | NAA-CL | # optim-adam, arch-att, arch-coverage, search-beam, task-seq2seq | 0 | Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting | Yichao Lu, Manisha Srivastava, Jared Kramer, Heba Elfardy, Andrea Kahn, Song Wang, Vikas Bhardwaj | https://www.aclweb.org/anthology/N19-2007.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq | 17 | Star-Transformer | Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang | https://www.aclweb.org/anthology/N19-1133.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, train-mll, arch-att, arch-subword, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-use, latent-vae, task-textclass, task-textpair, task-seq2seq | 2 | Correlation Coefficients and Semantic Textual Similarity | Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Nils Hammerla | https://www.aclweb.org/anthology/N19-1100.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, latent-topic, task-textpair | 2 | Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering | Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, Pradeep Karuturi | https://www.aclweb.org/anthology/N19-2020.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, search-beam, task-condlm, task-seq2seq, task-tree | 0 | Context Dependent Semantic Parsing over Temporally Structured Data | Charles Chen, Razvan Bunescu | https://www.aclweb.org/anthology/N19-1360.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq | 2 | Jointly Extracting and Compressing Documents with Summary State Representations | Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen | https://www.aclweb.org/anthology/N19-1397.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, nondif-reinforce, task-seq2seq, task-tree | 4 | Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases | Yu Chen, Lingfei Wu, Mohammed J. Zaki | https://www.aclweb.org/anthology/N19-1299.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, arch-subword, pre-fasttext, struct-crf, adv-train, loss-svd, task-seqlab, task-lm, task-lexicon, task-alignment | 0 | Zero-Shot Cross-Lingual Opinion Target Extraction | Soufian Jebbara, Philipp Cimiano | https://www.aclweb.org/anthology/N19-1257.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, task-textpair | 0 | Using Natural Language Relations between Answer Choices for Machine Comprehension | Rajkumar Pujari, Dan Goldwasser | https://www.aclweb.org/anthology/N19-1403.pdf |
| 2019 | NAA-CL | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, arch-subword, search-beam, search-viterbi, struct-crf, latent-topic, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Incorporating Word Attention into Character-Based Word Segmentation | Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto, Isaac Okada | https://www.aclweb.org/anthology/N19-1276.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-att, comb-ensemble, adv-examp, task-textclass, task-seq2seq | 1 | Mitigating Uncertainty in Document Classification | Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan | https://www.aclweb.org/anthology/N19-1316.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, search-viterbi, pre-word2vec, struct-crf, task-textclass, task-seqlab | 1 | An Encoding Strategy Based Word-Character LSTM for Chinese NER | Wei Liu, Tongge Xu, Qinghua Xu, Jiayu Song, Yueran Zu | https://www.aclweb.org/anthology/N19-1247.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-gru, arch-att, latent-vae, task-seq2seq, task-lexicon | 3 | Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms | Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, Eduard Hovy | https://www.aclweb.org/anthology/N19-1364.pdf |
| 2019 | NAA-CL | # init-glorot, reg-dropout, reg-worddropout, arch-cnn, arch-att, arch-coverage, pre-glove, latent-topic, task-textpair, task-seq2seq, task-relation, task-tree | 1 | No Permanent Friends or Enemies: Tracking Relationships between Nations from News | Xiaochuang Han, Eunsol Choi, Chenhao Tan | https://www.aclweb.org/anthology/N19-1167.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-memo, pre-elmo, pre-bert, task-lm, task-cloze | 16 | Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence | Chi Sun, Luyao Huang, Xipeng Qiu | https://www.aclweb.org/anthology/N19-1035.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, train-transfer, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq | 7 | Non-Parametric Adaptation for Neural Machine Translation | Ankur Bapna, Orhan Firat | https://www.aclweb.org/anthology/N19-1191.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, norm-gradient, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-memo, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seq2seq, task-relation | 3 | Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations | Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang | https://www.aclweb.org/anthology/N19-1118.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, arch-cnn, arch-att, arch-selfatt, adv-train | 5 | Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions | Zhi-Xiu Ye, Zhen-Hua Ling | https://www.aclweb.org/anthology/N19-1288.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-rnn, arch-lstm, arch-att, search-beam, adv-train, latent-vae, task-condlm, task-seq2seq | 5 | Answer-based Adversarial Training for Generating Clarification Questions | Sudha Rao, Hal Daumé III | https://www.aclweb.org/anthology/N19-1013.pdf |
| 2019 | NAA-CL | # norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm, task-condlm, task-seq2seq | 5 | Evaluating Text GANs as Language Models | Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant | https://www.aclweb.org/anthology/N19-1233.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-seq2seq, task-tree | 2 | Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems | Ting-Rui Chiang, Yun-Nung Chen | https://www.aclweb.org/anthology/N19-1272.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, pool-max, arch-cnn, arch-att, adv-train, latent-vae, task-textclass | 0 | Exploiting Noisy Data in Distant Supervision Relation Classification | Kaijia Yang, Liang He, Xin-yu Dai, Shujian Huang, Jiajun Chen | https://www.aclweb.org/anthology/N19-1325.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-textclass, task-relation | 1 | Topic Spotting using Hierarchical Networks with Self Attention | Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani, Mubbasir Kapadia | https://www.aclweb.org/anthology/N19-1376.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, activ-relu, arch-rnn, arch-lstm, arch-att, arch-memo, search-beam, struct-cfg, task-lm, task-seq2seq | 0 | Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar | Wenchao Du, Alan W Black | https://www.aclweb.org/anthology/N19-1377.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-word2vec, task-lm, task-relation | 3 | Incorporating Emoji Descriptions Improves Tweet Classification | Abhishek Singh, Eduardo Blanco, Wei Jin | https://www.aclweb.org/anthology/N19-1214.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, nondif-reinforce, latent-vae, task-seq2seq, task-tree | 17 | Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models | Tiancheng Zhao, Kaige Xie, Maxine Eskenazi | https://www.aclweb.org/anthology/N19-1123.pdf |
| 2019 | NAA-CL | # optim-adam, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-relation | 51 | Linguistic Knowledge and Transferability of Contextual Representations | Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith | https://www.aclweb.org/anthology/N19-1112.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, pre-bert, adv-examp, adv-train, task-textclass, task-condlm, task-seq2seq | 3 | Adversarial Training for Weakly Supervised Event Detection | Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li | https://www.aclweb.org/anthology/N19-1105.pdf |
| 2019 | NAA-CL | # optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, pre-elmo, pre-bert, task-lm | 4 | Structural Scaffolds for Citation Intent Classification in Scientific Publications | Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady | https://www.aclweb.org/anthology/N19-1361.pdf |
| 2019 | NAA-CL | # train-mtl, train-mll, train-transfer, arch-rnn, arch-gru, arch-att, arch-selfatt, adv-train, task-relation, task-tree | 1 | Robust Semantic Parsing with Adversarial Learning for Domain Generalization | Gabriel Marzinotto, Géraldine Damnati, Frédéric Béchet, Benoît Favre | https://www.aclweb.org/anthology/N19-2021.pdf |
| 2019 | NAA-CL | # optim-adam, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-glove, struct-crf, task-seqlab, task-lm | 0 | VCWE: Visual Character-Enhanced Word Embeddings | Chi Sun, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/N19-1277.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, adv-examp, task-seq2seq | 5 | Neural Machine Translation of Text from Non-Native Speakers | Antonios Anastasopoulos, Alison Lui, Toan Q. Nguyen, David Chiang | https://www.aclweb.org/anthology/N19-1311.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, search-greedy, search-beam, struct-crf, struct-cfg, task-seqlab, task-relation | 1 | Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle | Maximin Coavoux, Shay B. Cohen | https://www.aclweb.org/anthology/N19-1018.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-word2vec, pre-glove, pre-elmo, latent-vae, task-lm, task-seq2seq | 4 | In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data | Nishant Prateek, Mateusz Łajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood | https://www.aclweb.org/anthology/N19-2026.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-active, pool-max, arch-rnn, arch-cnn, arch-att | 0 | Saliency Learning: Teaching the Model Where to Pay Attention | Reza Ghaeini, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli | https://www.aclweb.org/anthology/N19-1404.pdf |
| 2019 | NAA-CL | # init-glorot, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, comb-ensemble, pre-glove, adv-train, loss-triplet, task-lm | 1 | Adversarial Category Alignment Network for Cross-domain Sentiment Classification | Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou | https://www.aclweb.org/anthology/N19-1258.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-energy, search-viterbi, pre-word2vec, pre-skipthought, struct-hmm, struct-crf, adv-train, task-textclass, task-seq2seq | 0 | Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation | Tasnim Mohiuddin, Thanh-Tung Nguyen, Shafiq Joty | https://www.aclweb.org/anthology/N19-1134.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-elmo, task-textclass, task-lm, task-seq2seq | 10 | Pre-trained language model representations for language generation | Sergey Edunov, Alexei Baevski, Michael Auli | https://www.aclweb.org/anthology/N19-1409.pdf |
| 2019 | NAA-CL | # arch-att, pre-bert | 8 | Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims | Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth | https://www.aclweb.org/anthology/N19-1053.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, latent-vae, loss-nce, task-seq2seq | 0 | Learning to Decipher Hate Symbols | Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang | https://www.aclweb.org/anthology/N19-1305.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, train-augment, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, task-seq2seq, task-tree | 1 | Iterative Search for Weakly Supervised Semantic Parsing | Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard Hovy | https://www.aclweb.org/anthology/N19-1273.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-glove, task-textpair, task-lm, task-seq2seq | 1 | Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation | Wei-Jen Ko, Greg Durrett, Junyi Jessy Li | https://www.aclweb.org/anthology/N19-1349.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-worddropout, norm-layer, pool-max, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer | 5 | Relation Extraction using Explicit Context Conditioning | Gaurav Singh, Parminder Bhatia | https://www.aclweb.org/anthology/N19-1147.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-memo, task-textpair, task-relation, task-graph | 3 | Biomedical Event Extraction based on Knowledge-driven Tree-LSTM | Diya Li, Lifu Huang, Heng Ji, Jiawei Han | https://www.aclweb.org/anthology/N19-1145.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-glove, task-textclass | 0 | Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture | Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama | https://www.aclweb.org/anthology/N19-1318.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-norm, arch-rnn, arch-gru, arch-att, search-beam, loss-nce, task-textclass, task-seq2seq | 3 | Adapting RNN Sequence Prediction Model to Multi-label Set Prediction | Kechen Qin, Cheng Li, Virgil Pavlu, Javed Aslam | https://www.aclweb.org/anthology/N19-1321.pdf |
| 2019 | NAA-CL | # optim-adam, optim-adagrad, optim-adadelta, optim-projection, reg-dropout, reg-norm, train-mll, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-gating, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 7 | Polyglot Contextual Representations Improve Crosslingual Transfer | Phoebe Mulcaire, Jungo Kasai, Noah A. Smith | https://www.aclweb.org/anthology/N19-1392.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, struct-crf, task-textpair, task-seq2seq, task-tree | 1 | Open Information Extraction from Question-Answer Pairs | Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy, H. V. Jagadish | https://www.aclweb.org/anthology/N19-1239.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-fasttext, loss-svd, task-condlm | 2 | AudioCaps: Generating Captions for Audios in The Wild | Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim | https://www.aclweb.org/anthology/N19-1011.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-gating, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, task-relation | 3 | Learning to Denoise Distantly-Labeled Data for Entity Typing | Yasumasa Onoe, Greg Durrett | https://www.aclweb.org/anthology/N19-1250.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, task-textpair | 0 | AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification | Santosh Tokala, Vishal G, Avirup Saha, Niloy Ganguly | https://www.aclweb.org/anthology/N19-1230.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, task-extractive, task-seq2seq, task-relation | 4 | Single Document Summarization as Tree Induction | Yang Liu, Ivan Titov, Mirella Lapata | https://www.aclweb.org/anthology/N19-1173.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-stopping, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation | 0 | AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning | Han Guo, Ramakanth Pasunuru, Mohit Bansal | https://www.aclweb.org/anthology/N19-1355.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-extractive, task-lm, task-seq2seq, task-relation | 6 | Guiding Extractive Summarization with Question-Answering Rewards | Kristjan Arumae, Fei Liu | https://www.aclweb.org/anthology/N19-1264.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, arch-transformer, pre-word2vec, pre-elmo, pre-bert, pre-use, task-textpair, task-seq2seq, task-tree | 4 | Evaluating Coherence in Dialogue Systems using Entailment | Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, Osmar Zaiane | https://www.aclweb.org/anthology/N19-1381.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq | 2 | Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition | Angli Liu, Jingfei Du, Veselin Stoyanov | https://www.aclweb.org/anthology/N19-1117.pdf |
| 2019 | NAA-CL | # train-augment, arch-att | 0 | Are the Tools up to the Task? an Evaluation of Commercial Dialog Tools in Developing Conversational Enterprise-grade Dialog Systems | Marie Meteer, Meghan Hickey, Carmi Rothberg, David Nahamoo, Ellen Eide Kislal | https://www.aclweb.org/anthology/N19-2014.pdf |
| 2019 | NAA-CL | # optim-projection, reg-patience, train-mll, arch-lstm, arch-att, pre-fasttext, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon, task-alignment | 3 | Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs | Geert Heyman, Bregt Verreet, Ivan Vulić, Marie-Francine Moens | https://www.aclweb.org/anthology/N19-1188.pdf |
| 2019 | NAA-CL | # optim-projection, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, pre-elmo, struct-crf, adv-train, task-seqlab, task-relation | 10 | A general framework for information extraction using dynamic span graphs | Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/N19-1308.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-att, search-beam, adv-train, task-lm, task-condlm, task-seq2seq | 14 | Unifying Human and Statistical Evaluation for Natural Language Generation | Tatsunori Hashimoto, Hugh Zhang, Percy Liang | https://www.aclweb.org/anthology/N19-1169.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seqlab | 1 | Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features | Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin | https://www.aclweb.org/anthology/N19-2008.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-cnn, arch-att, pre-glove, struct-crf, task-seqlab | 2 | Entity Recognition at First Sight: Improving NER with Eye Movement Information | Nora Hollenstein, Ce Zhang | https://www.aclweb.org/anthology/N19-1001.pdf |
| 2019 | NAA-CL | # reg-stopping, norm-gradient, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, nondif-reinforce, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network | Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/N19-1091.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, task-lm, task-seq2seq | 1 | Neural Text Normalization with Subword Units | Courtney Mansfield, Ming Sun, Yuzong Liu, Ankur Gandhe, Björn Hoffmeister | https://www.aclweb.org/anthology/N19-2024.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-paravec, pre-skipthought, loss-svd, task-seq2seq | 0 | Automatic learner summary assessment for reading comprehension | Menglin Xia, Ekaterina Kochmar, Ted Briscoe | https://www.aclweb.org/anthology/N19-1261.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, task-relation | 0 | Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN | Van-Hien Tran, Van-Thuy Phi, Hiroyuki Shindo, Yuji Matsumoto | https://www.aclweb.org/anthology/N19-1286.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-stopping, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, search-viterbi, pre-word2vec, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq | 1 | Benchmarking Approximate Inference Methods for Neural Structured Prediction | Lifu Tu, Kevin Gimpel | https://www.aclweb.org/anthology/N19-1335.pdf |
| 2019 | NAA-CL | # arch-att, search-beam, loss-nce, task-lm, task-seq2seq | 0 | How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation | Zhiwei Yu, Xiaojun Wan | https://www.aclweb.org/anthology/N19-1092.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, init-glorot, reg-dropout, reg-stopping, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, struct-crf, task-seqlab, task-lm, task-tree, task-graph | 8 | Text Generation from Knowledge Graphs with Graph Transformers | Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/N19-1238.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm, task-seq2seq | 0 | Conversation Initiation by Diverse News Contents Introduction | Satoshi Akasaki, Nobuhiro Kaji | https://www.aclweb.org/anthology/N19-1400.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, task-lm, task-seq2seq, task-tree, task-graph | 3 | Neural Text Generation from Rich Semantic Representations | Valerie Hajdik, Jan Buys, Michael Wayne Goodman, Emily M. Bender | https://www.aclweb.org/anthology/N19-1235.pdf |
| 2019 | NAA-CL | # optim-sgd, arch-rnn, arch-lstm, arch-cnn, arch-att, struct-hmm, struct-crf, latent-vae | 0 | A Study of Latent Structured Prediction Approaches to Passage Reranking | Iryna Haponchyk, Alessandro Moschitti | https://www.aclweb.org/anthology/N19-1183.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, reg-stopping, norm-gradient, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, struct-crf, adv-examp, adv-train, task-textclass, task-lm, task-condlm | 3 | Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems | Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych | https://www.aclweb.org/anthology/N19-1165.pdf |
| 2019 | NAA-CL | # optim-adagrad, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, arch-transformer, search-beam, task-condlm, task-seq2seq | 2 | Learning to Stop in Structured Prediction for Neural Machine Translation | Mingbo Ma, Renjie Zheng, Liang Huang | https://www.aclweb.org/anthology/N19-1187.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, search-viterbi, loss-svd, task-lm, task-seq2seq | 0 | Enabling Real-time Neural IME with Incremental Vocabulary Selection | Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama | https://www.aclweb.org/anthology/N19-2001.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-relation, task-tree | 0 | Decomposed Local Models for Coordinate Structure Parsing | Hiroki Teranishi, Hiroyuki Shindo, Yuji Matsumoto | https://www.aclweb.org/anthology/N19-1343.pdf |
| 2019 | NAA-CL | # optim-adam, arch-att, search-viterbi, task-tree, task-graph | 3 | The problem with probabilistic DAG automata for semantic graphs | Ieva Vasiljeva, Sorcha Gilroy, Adam Lopez | https://www.aclweb.org/anthology/N19-1096.pdf |
| 2019 | NAA-CL | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-bert, struct-crf, task-textclass, task-textpair, task-lm, task-seq2seq, task-alignment | 0 | Alignment over Heterogeneous Embeddings for Question Answering | Vikas Yadav, Steven Bethard, Mihai Surdeanu | https://www.aclweb.org/anthology/N19-1274.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-stopping, train-mtl, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, search-viterbi, pre-glove, struct-crf, task-relation, task-tree, task-alignment | 2 | Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling | Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen | https://www.aclweb.org/anthology/N19-1259.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, struct-crf | 0 | Subword-Level Language Identification for Intra-Word Code-Switching | Manuel Mager, Özlem Çetinoğlu, Katharina Kann | https://www.aclweb.org/anthology/N19-1201.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-greedy, nondif-gumbelsoftmax, adv-train, task-lm, task-condlm, task-seq2seq | 2 | Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation | Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do Omri, Ahmad Rashid | https://www.aclweb.org/anthology/N19-1234.pdf |
| 2019 | NAA-CL | # optim-adam, optim-adagrad, arch-lstm, arch-att, arch-coverage, search-beam, task-extractive, task-seq2seq, task-tree | 4 | Question Answering as an Automatic Evaluation Metric for News Article Summarization | Matan Eyal, Tal Baumel, Michael Elhadad | https://www.aclweb.org/anthology/N19-1395.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-att, adv-examp, task-lm, task-seq2seq, task-relation | 0 | Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples | Krtin Kumar, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/N19-1396.pdf |
| 2019 | NAA-CL | # train-mll, arch-att, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-seq2seq | 0 | Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition | Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko | https://www.aclweb.org/anthology/N19-1050.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, search-beam, latent-topic, task-seq2seq | 2 | Microblog Hashtag Generation via Encoding Conversation Contexts | Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi | https://www.aclweb.org/anthology/N19-1164.pdf |
| 2019 | NAA-CL | # optim-adadelta, reg-decay, train-mtl, arch-rnn, arch-att, pre-word2vec, struct-crf, latent-vae, latent-topic, task-textclass, task-relation | 0 | A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification | Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song | https://www.aclweb.org/anthology/N19-1036.pdf |
| 2019 | NAA-CL | # optim-adam, optim-adadelta, optim-projection, norm-gradient, train-mtl, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, search-beam, task-lm, task-seq2seq | 2 | Acoustic-to-Word Models with Conversational Context Information | Suyoun Kim, Florian Metze | https://www.aclweb.org/anthology/N19-1283.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-glove, pre-elmo, pre-use, task-textclass, task-relation, task-tree | 0 | Outlier Detection for Improved Data Quality and Diversity in Dialog Systems | Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars | https://www.aclweb.org/anthology/N19-1051.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, pre-word2vec, pre-glove, pre-skipthought, pre-elmo, struct-crf, adv-train, latent-vae, task-textclass, task-lm | 6 | Dialogue Act Classification with Context-Aware Self-Attention | Vipul Raheja, Joel Tetreault | https://www.aclweb.org/anthology/N19-1373.pdf |
| 2019 | NAA-CL | # arch-att, comb-ensemble | 1 | Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System | Shazia Afzal, Tejas Dhamecha, Nirmal Mukhi, Renuka Sindhgatta, Smit Marvaniya, Matthew Ventura, Jessica Yarbro | https://www.aclweb.org/anthology/N19-2015.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-att, task-lm, task-seq2seq | 0 | Serial Recall Effects in Neural Language Modeling | Hassan Hajipoor, Hadi Amiri, Maseud Rahgozar, Farhad Oroumchian | https://www.aclweb.org/anthology/N19-1073.pdf |
| 2019 | NAA-CL | # arch-att, arch-transformer, search-greedy, pre-glove, task-lm | 0 | Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives | Liye Fu, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil | https://www.aclweb.org/anthology/N19-1052.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-bilinear, pre-glove, task-textpair, task-seqlab, task-tree | 2 | Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing | Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang | https://www.aclweb.org/anthology/N19-1084.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation | 43 | A Structural Probe for Finding Syntax in Word Representations | John Hewitt, Christopher D. Manning | https://www.aclweb.org/anthology/N19-1419.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, activ-relu, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, task-textclass, task-lm | 3 | Understanding language-elicited EEG data by predicting it from a fine-tuned language model | Dan Schwartz, Tom Mitchell | https://www.aclweb.org/anthology/N19-1005.pdf |
| 2019 | NAA-CL | # reg-stopping, reg-patience, train-augment, arch-gru, arch-att, arch-coverage, task-seq2seq | 1 | Training Data Augmentation for Context-Sensitive Neural Lemmatizer Using Inflection Tables and Raw Text | Toms Bergmanis, Sharon Goldwater | https://www.aclweb.org/anthology/N19-1418.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, comb-ensemble, pre-glove, pre-elmo, pre-bert, struct-crf, nondif-reinforce, task-seq2seq, task-relation | 7 | Better, Faster, Stronger Sequence Tagging Constituent Parsers | David Vilares, Mostafa Abdou, Anders Søgaard | https://www.aclweb.org/anthology/N19-1341.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, pre-glove, task-spanlab, task-lm, task-seq2seq | 0 | The Lower The Simpler: Simplifying Hierarchical Recurrent Models | Chao Wang, Hui Jiang | https://www.aclweb.org/anthology/N19-1402.pdf |
| 2019 | NAA-CL | # optim-adagrad, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq | 3 | Scaling Multi-Domain Dialogue State Tracking via Query Reformulation | Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Mathias Lambert | https://www.aclweb.org/anthology/N19-2013.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-gru, arch-cnn, arch-att, nondif-reinforce | 0 | Posterior-regularized REINFORCE for Instance Selection in Distant Supervision | Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang | https://www.aclweb.org/anthology/N19-1290.pdf |
| 2019 | NAA-CL | # train-mll, arch-rnn, arch-lstm, arch-att, arch-transformer, struct-hmm, task-lm, task-seq2seq | 0 | Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language | Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan, Mohammad Zuberul Islam | https://www.aclweb.org/anthology/N19-1322.pdf |
| 2019 | NAA-CL | # optim-sgd, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, search-viterbi, pre-glove, latent-vae, task-lm, task-seq2seq, task-relation | 1 | Benchmarking Hierarchical Script Knowledge | Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi | https://www.aclweb.org/anthology/N19-1412.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, reg-patience, arch-rnn, arch-gru, arch-att, task-textclass, task-seq2seq, task-tree | 4 | Inferring Which Medical Treatments Work from Reports of Clinical Trials | Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace | https://www.aclweb.org/anthology/N19-1371.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-bert, struct-crf | 0 | Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog | Rashmi Gangadharaiah, Balakrishnan Narayanaswamy | https://www.aclweb.org/anthology/N19-1055.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adadelta, reg-dropout, reg-stopping, arch-cnn, arch-att, pre-word2vec, pre-glove, task-textclass | 2 | An Effective Label Noise Model for DNN Text Classification | Ishan Jindal, Daniel Pressel, Brian Lester, Matthew Nokleby | https://www.aclweb.org/anthology/N19-1328.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, norm-layer, train-augment, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-word2vec, task-seq2seq, task-tree, task-graph | 2 | Factorising AMR generation through syntax | Kris Cao, Stephen Clark | https://www.aclweb.org/anthology/N19-1223.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq | 0 | Disentangling Language and Knowledge in Task-Oriented Dialogs | Dinesh Raghu, Nikhil Gupta, Mausam | https://www.aclweb.org/anthology/N19-1126.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, pool-max, arch-rnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-bert, task-seq2seq | 11 | Information Aggregation for Multi-Head Attention with Routing-by-Agreement | Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu | https://www.aclweb.org/anthology/N19-1359.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, pre-glove | 3 | Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis | Md Shad Akhtar, Dushyant Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/N19-1034.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, arch-lstm, arch-att, arch-memo, adv-train, task-textclass, task-seqlab, task-spanlab, task-seq2seq | 0 | Document-Level Event Factuality Identification via Adversarial Neural Network | Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou | https://www.aclweb.org/anthology/N19-1287.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, search-beam, task-seq2seq, task-relation | 4 | Left-to-Right Dependency Parsing with Pointer Networks | Daniel Fernández-González, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/N19-1076.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq | 4 | Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension | Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao | https://www.aclweb.org/anthology/N19-1271.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, struct-crf, adv-examp, task-textpair, task-lm, task-condlm, task-seq2seq, task-alignment | 9 | PAWS: Paraphrase Adversaries from Word Scrambling | Yuan Zhang, Jason Baldridge, Luheng He | https://www.aclweb.org/anthology/N19-1131.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-seq2seq | 3 | Incorporating Context and External Knowledge for Pronoun Coreference Resolution | Hongming Zhang, Yan Song, Yangqiu Song | https://www.aclweb.org/anthology/N19-1093.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq | 2 | One Size Does Not Fit All: Comparing NMT Representations of Different Granularities | Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov | https://www.aclweb.org/anthology/N19-1154.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq, task-relation, task-lexicon | 12 | Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing | Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson | https://www.aclweb.org/anthology/N19-1162.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, arch-lstm, arch-att, comb-ensemble, struct-hmm, task-textclass | 2 | Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations | Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren, Xu Sun | https://www.aclweb.org/anthology/N19-1296.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, arch-att, arch-bilinear | 3 | Graph Pattern Entity Ranking Model for Knowledge Graph Completion | Takuma Ebisu, Ryutaro Ichise | https://www.aclweb.org/anthology/N19-1104.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-mll, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, pre-word2vec, task-seq2seq, task-relation, task-alignment | 2 | Low-Resource Syntactic Transfer with Unsupervised Source Reordering | Mohammad Sadegh Rasooli, Michael Collins | https://www.aclweb.org/anthology/N19-1385.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-elmo, task-spanlab, task-seq2seq | 7 | BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering | Yu Cao, Meng Fang, Dacheng Tao | https://www.aclweb.org/anthology/N19-1032.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, norm-gradient, train-mll, train-augment, arch-rnn, arch-lstm, arch-att, arch-energy, task-condlm, task-seq2seq, task-relation | 7 | A Simple Joint Model for Improved Contextual Neural Lemmatization | Chaitanya Malaviya, Shijie Wu, Ryan Cotterell | https://www.aclweb.org/anthology/N19-1155.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-decay, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-tree | 20 | Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data | Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu | https://www.aclweb.org/anthology/N19-1014.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-att, arch-selfatt, arch-subword, pre-fasttext | 5 | Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts | Timo Schick, Hinrich Schütze | https://www.aclweb.org/anthology/N19-1048.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-glove, struct-crf, latent-vae, task-textclass, task-lm, task-seq2seq | 2 | Strong and Simple Baselines for Multimodal Utterance Embeddings | Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency | https://www.aclweb.org/anthology/N19-1267.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, task-seq2seq | 9 | Selective Attention for Context-aware Neural Machine Translation | Sameen Maruf, André F. T. Martins, Gholamreza Haffari | https://www.aclweb.org/anthology/N19-1313.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, task-lm, task-condlm, task-seq2seq | 10 | Probing the Need for Visual Context in Multimodal Machine Translation | Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault | https://www.aclweb.org/anthology/N19-1422.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-mtl, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm | 6 | Massively Multilingual Adversarial Speech Recognition | Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky | https://www.aclweb.org/anthology/N19-1009.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-fasttext, latent-vae, task-extractive, task-seq2seq | 9 | Abstractive Summarization of Reddit Posts with Multi-level Memory Networks | Byeongchang Kim, Hyunwoo Kim, Gunhee Kim | https://www.aclweb.org/anthology/N19-1260.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, pre-word2vec, struct-hmm, struct-crf, task-seqlab, task-lm | 0 | Improving Cross-Domain Chinese Word Segmentation with Word Embeddings | Yuxiao Ye, Weikang Li, Yue Zhang, Likun Qiu, Jian Sun | https://www.aclweb.org/anthology/N19-1279.pdf |
| 2019 | NAA-CL | # reg-dropout, norm-gradient, train-transfer, train-parallel, arch-att, arch-subword, arch-transformer, task-seq2seq, task-alignment | 0 | Measuring Immediate Adaptation Performance for Neural Machine Translation | Patrick Simianer, Joern Wuebker, John DeNero | https://www.aclweb.org/anthology/N19-1206.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-transfer, pool-max, pool-mean, arch-lstm, arch-att, arch-memo, arch-bilinear, pre-word2vec, pre-glove, task-textclass, task-seqlab | 1 | Description-Based Zero-shot Fine-Grained Entity Typing | Rasha Obeidat, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli | https://www.aclweb.org/anthology/N19-1087.pdf |
| 2019 | NAA-CL | # optim-adam, reg-decay, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, comb-ensemble, pre-glove | 0 | On Knowledge distillation from complex networks for response prediction | Siddhartha Arora, Mitesh M. Khapra, Harish G. Ramaswamy | https://www.aclweb.org/anthology/N19-1382.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, pre-glove, pre-bert, task-spanlab, task-seq2seq | 3 | Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring | Zhengyuan Liu, Hazel Lim, Nur Farah Ain Suhaimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee, Michael R. Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen | https://www.aclweb.org/anthology/N19-2004.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-coverage, adv-examp, task-textclass, task-textpair, task-spanlab, task-seq2seq | 10 | Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets | Nelson F. Liu, Roy Schwartz, Noah A. Smith | https://www.aclweb.org/anthology/N19-1225.pdf |
| 2019 | NAA-CL | # reg-dropout, norm-gradient, train-mtl, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, comb-ensemble, task-seq2seq, task-relation | 0 | Multi-Task Learning for Japanese Predicate Argument Structure Analysis | Hikaru Omori, Mamoru Komachi | https://www.aclweb.org/anthology/N19-1344.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-nce, task-seqlab, task-seq2seq | 24 | Massively Multilingual Neural Machine Translation | Roee Aharoni, Melvin Johnson, Orhan Firat | https://www.aclweb.org/anthology/N19-1388.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, activ-tanh, arch-rnn, arch-lstm, arch-att, arch-memo, pre-glove, task-seq2seq | 3 | Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding | Jonggu Kim, Jong-Hyeok Lee | https://www.aclweb.org/anthology/N19-1372.pdf |
| 2019 | NAA-CL | # arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, pre-skipthought, pre-use, task-textpair | 0 | Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings | Gijs Wijnholds, Mehrnoosh Sadrzadeh | https://www.aclweb.org/anthology/N19-1023.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-norm, arch-lstm, arch-bilstm, arch-att, task-seqlab, task-lm | 1 | Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering | Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren | https://www.aclweb.org/anthology/N19-1294.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-att, latent-topic, loss-nce, task-extractive, task-seq2seq | 0 | News Article Teaser Tweets and How to Generate Them | Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger, Hinrich Schütze | https://www.aclweb.org/anthology/N19-1398.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, reg-norm, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, comb-ensemble, pre-glove, struct-crf, latent-topic, task-extractive | 0 | Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction | Animesh Prasad, Min-Yen Kan | https://www.aclweb.org/anthology/N19-1182.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-active, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear | 0 | Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision | Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu | https://www.aclweb.org/anthology/N19-1107.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-att, arch-energy, search-beam, struct-crf, struct-cfg, loss-nce, task-condlm, task-seq2seq, task-relation | 0 | An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search | Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/N19-1171.pdf |
| 2019 | NAA-CL | # optim-adam, arch-att, task-lm | 3 | Short-Term Meaning Shift: A Distributional Exploration | Marco Del Tredici, Raquel Fernández, Gemma Boleda | https://www.aclweb.org/anthology/N19-1210.pdf |
| 2019 | NAA-CL | # train-mll, train-active, arch-att, pre-fasttext, pre-use, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | A Study of Incorrect Paraphrases in Crowdsourced User Utterances | Mohammad-Ali Yaghoub-Zadeh-Fard, Boualem Benatallah, Moshe Chai Barukh, Shayan Zamanirad | https://www.aclweb.org/anthology/N19-1026.pdf |
| 2019 | NAA-CL | # optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, task-textclass | 0 | Event Detection without Triggers | Shulin Liu, Yang Li, Feng Zhang, Tao Yang, Xinpeng Zhou | https://www.aclweb.org/anthology/N19-1080.pdf |
| 2019 | NAA-CL | # optim-adam, norm-batch, arch-lstm, arch-att, arch-bilinear, adv-feat, adv-train, task-condlm, task-seq2seq | 0 | The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding | Yiqun Yao, Jiaming Xu, Bo Xu | https://www.aclweb.org/anthology/N19-1266.pdf |
| 2019 | NAA-CL | # optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-fasttext, task-textpair, task-lm | 5 | CNM: An Interpretable Complex-valued Network for Matching | Qiuchi Li, Benyou Wang, Massimo Melucci | https://www.aclweb.org/anthology/N19-1420.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-labelsmooth, norm-batch, arch-cnn, arch-att, arch-bilinear, task-textpair | 2 | Adaptive Convolution for Multi-Relational Learning | Xiaotian Jiang, Quan Wang, Bin Wang | https://www.aclweb.org/anthology/N19-1103.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-recnn, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-fasttext, adv-train, task-seq2seq | 3 | Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages | Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/N19-1387.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-att, search-beam | 9 | CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog | Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach | https://www.aclweb.org/anthology/N19-1058.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-decay, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze | 3209 | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova | https://www.aclweb.org/anthology/N19-1423.pdf |
| 2019 | NAA-CL | # init-glorot, train-mtl, arch-rnn, arch-lstm, arch-att, comb-ensemble, task-lm, task-seq2seq | 2 | A Large-Scale Comparison of Historical Text Normalization Systems | Marcel Bollmann | https://www.aclweb.org/anthology/N19-1389.pdf |
| 2019 | NAA-CL | # reg-dropout, pool-max, arch-lstm, arch-cnn, arch-att, latent-topic, task-textclass | 3 | Sub-event detection from twitter streams as a sequence labeling problem | Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder | https://www.aclweb.org/anthology/N19-1081.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, norm-layer, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, search-greedy, search-beam, struct-cfg, nondif-gumbelsoftmax, task-lm, task-seq2seq | 5 | Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation | Xing Niu, Weijia Xu, Marine Carpuat | https://www.aclweb.org/anthology/N19-1043.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-elmo | 2 | Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs | Debjit Paul, Anette Frank | https://www.aclweb.org/anthology/N19-1368.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-worddropout, norm-layer, arch-rnn, arch-lstm, arch-att, pre-glove, nondif-reinforce, latent-vae, task-lm, task-condlm, task-seq2seq, task-tree | 4 | SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression | Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos | https://www.aclweb.org/anthology/N19-1071.pdf |