| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 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, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, task-textclass, task-seqlab, task-lm, task-seq2seq | 0 | Stochastic Tokenization with a Language Model for Neural Text Classification | Tatsuya Hiraoka, Hiroyuki Shindo, Yuji Matsumoto | https://www.aclweb.org/anthology/P19-1158.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, train-mll, pool-max, arch-lstm, arch-coverage, arch-subword, pre-fasttext, loss-cca, loss-svd, task-textpair, task-lm, task-seq2seq, task-lexicon | 29 | How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions | Goran Glavaš, Robert Litschko, Sebastian Ruder, Ivan Vulić | https://www.aclweb.org/anthology/P19-1070.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, 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 | # 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 | # 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 | # train-parallel, arch-lstm, arch-cnn, arch-subword, search-beam, task-lm, task-seq2seq | 0 | Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units | Arturo Argueta, David Chiang | https://www.aclweb.org/anthology/P19-1626.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 | # train-augment, arch-rnn, arch-lstm, arch-bilstm, pre-bert, struct-hmm, adv-examp, adv-train, task-spanlab, task-lm, task-seq2seq | 6 | Combating Adversarial Misspellings with Robust Word Recognition | Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton | https://www.aclweb.org/anthology/P19-1561.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-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, 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, reg-dropout, train-mll, pre-bert, task-seqlab, task-lm, task-relation | 18 | How Multilingual is Multilingual BERT? | Telmo Pires, Eva Schlinger, Dan Garrette | https://www.aclweb.org/anthology/P19-1493.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, 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 | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-coverage, pre-glove, pre-skipthought, pre-elmo, pre-bert, adv-train, task-textpair, task-lm, task-cloze, task-relation | 2 | DisSent: Learning Sentence Representations from Explicit Discourse Relations | Allen Nie, Erin Bennett, Noah Goodman | https://www.aclweb.org/anthology/P19-1442.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 | # 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 | # optim-adam, optim-projection, norm-gradient, train-mll, train-transfer, activ-relu, pool-max, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-skipthought, latent-vae, task-textpair, task-lm, task-seq2seq, task-cloze | 0 | Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning | Shuai Tang, Virginia R. de Sa | https://www.aclweb.org/anthology/P19-1397.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-sgd, train-mll, train-transfer, arch-lstm, search-viterbi, pre-fasttext, nondif-reinforce, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction | Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu, Xu Sun | https://www.aclweb.org/anthology/P19-1308.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-adam, optim-projection, reg-dropout, reg-stopping, train-parallel, arch-rnn, arch-gru, arch-memo, pre-glove, pre-bert, latent-vae, task-lm | 3 | The Referential Reader: A Recurrent Entity Network for Anaphora Resolution | Fei Liu, Luke Zettlemoyer, Jacob Eisenstein | https://www.aclweb.org/anthology/P19-1593.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-adam, optim-adagrad, train-mll, arch-coverage, arch-subword, pre-fasttext, pre-elmo, task-lm, task-seq2seq | 2 | Multilingual and Cross-Lingual Graded Lexical Entailment | Ivan Vulić, Simone Paolo Ponzetto, Goran Glavaš | https://www.aclweb.org/anthology/P19-1490.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-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-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 | # 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, 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, 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, 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, train-transfer, arch-lstm, arch-coverage, task-lm | 1 | How Large Are Lions? Inducing Distributions over Quantitative Attributes | Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth | https://www.aclweb.org/anthology/P19-1388.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-subword, arch-transformer, pre-fasttext, pre-skipthought, pre-bert, struct-cfg, task-textpair, task-lm, task-tree | 5 | Correlating Neural and Symbolic Representations of Language | Grzegorz Chrupała, Afra Alishahi | https://www.aclweb.org/anthology/P19-1283.pdf |
| 2019 | ACL | # optim-adam, loss-svd, task-lm, task-seq2seq | 4 | Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change | Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg | https://www.aclweb.org/anthology/P19-1044.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, pre-bert, latent-vae, task-textpair, task-spanlab, task-lm, task-tree | 5 | Latent Retrieval for Weakly Supervised Open Domain Question Answering | Kenton Lee, Ming-Wei Chang, Kristina Toutanova | https://www.aclweb.org/anthology/P19-1612.pdf |
| 2019 | ACL | # optim-projection, train-transfer, task-lm, task-tree | 0 | Zero-Shot Semantic Parsing for Instructions | Ofer Givoli, Roi Reichart | https://www.aclweb.org/anthology/P19-1438.pdf |
| 2019 | ACL | # arch-lstm, search-beam, latent-vae, task-lm, task-condlm | 0 | Know What You Don’t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories | Sina Zarrieß, David Schlangen | https://www.aclweb.org/anthology/P19-1063.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, 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-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-bilstm, pre-elmo, task-lm | 0 | Putting Words in Context: LSTM Language Models and Lexical Ambiguity | Laura Aina, Kristina Gulordava, Gemma Boleda | https://www.aclweb.org/anthology/P19-1324.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-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-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, comb-ensemble, search-greedy, task-textclass, task-lm, task-condlm, task-seq2seq | 3 | A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification | Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin, Xu Sun | https://www.aclweb.org/anthology/P19-1518.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-stopping, reg-patience, train-mll, arch-lstm, arch-subword, task-lm, task-seq2seq, task-relation | 0 | Better Character Language Modeling through Morphology | Terra Blevins, Luke Zettlemoyer | https://www.aclweb.org/anthology/P19-1156.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, task-lm | 1 | Relating Simple Sentence Representations in Deep Neural Networks and the Brain | Sharmistha Jat, Hao Tang, Partha Talukdar, Tom Mitchell | https://www.aclweb.org/anthology/P19-1507.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, 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, activ-relu, pool-max, pool-mean, arch-cnn, pre-glove, task-textclass, task-lm, task-seq2seq | 4 | MOROCO: The Moldavian and Romanian Dialectal Corpus | Andrei Butnaru, Radu Tudor Ionescu | https://www.aclweb.org/anthology/P19-1068.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-mll, arch-rnn, arch-lstm, arch-coverage, arch-subword, task-lm | 3 | Meaning to Form: Measuring Systematicity as Information | Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark, Ryan Cotterell | https://www.aclweb.org/anthology/P19-1171.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 | # 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 | # optim-sgd, optim-adam, optim-projection, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-fasttext, nondif-reinforce, task-textclass, task-lm, task-condlm, task-relation | 2 | Visually Grounded Neural Syntax Acquisition | Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu | https://www.aclweb.org/anthology/P19-1180.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 | # 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 | # reg-dropout, arch-rnn, arch-lstm, arch-cnn, pre-glove, pre-elmo, task-lm, task-relation | 0 | Identifying Visible Actions in Lifestyle Vlogs | Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea | https://www.aclweb.org/anthology/P19-1643.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, 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, 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 | # optim-adam, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-memo, pre-glove, latent-topic, task-lm, task-alignment | 1 | Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting | Jeanne E. Daniel, Willie Brink, Ryan Eloff, Charles Copley | https://www.aclweb.org/anthology/P19-1090.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 | # 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 | # 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, 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-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, arch-memo, arch-coverage, arch-transformer, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-seq2seq | 5 | Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset | Hannah Rashkin, Eric Michael Smith, Margaret Li, Y-Lan Boureau | https://www.aclweb.org/anthology/P19-1534.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, optim-projection, pool-mean, arch-coverage, arch-subword, pre-elmo, pre-bert, task-lm, task-seq2seq | 2 | Entity-Centric Contextual Affective Analysis | Anjalie Field, Yulia Tsvetkov | https://www.aclweb.org/anthology/P19-1243.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 | # train-transfer, arch-subword, arch-transformer, comb-ensemble, task-lm, task-seq2seq | 1 | Domain Adaptive Inference for Neural Machine Translation | Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne | https://www.aclweb.org/anthology/P19-1022.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 | # 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-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 | # 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 | # 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 | # reg-norm, arch-rnn, arch-coverage, task-lm | 0 | Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions | Innocent Ndubuisi-Obi, Sayan Ghosh, David Jurgens | https://www.aclweb.org/anthology/P19-1625.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-subword, pre-fasttext, latent-vae, loss-svd, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Multilingual Factor Analysis | Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos Korfiatis, Nils Hammerla | https://www.aclweb.org/anthology/P19-1170.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-coverage, arch-transformer, pre-bert, task-lm, task-tree | 1 | The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution | Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/P19-1386.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, 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, 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, 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, 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, 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 | # 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 | # 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 | # 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-projection, pre-word2vec, pre-glove, loss-svd, task-lm, task-seq2seq | 2 | On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings | Abhik Jana, Dima Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee | https://www.aclweb.org/anthology/P19-1316.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 | # 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 | # train-mtl, train-transfer, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-relation | 4 | BAM! Born-Again Multi-Task Networks for Natural Language Understanding | Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le | https://www.aclweb.org/anthology/P19-1595.pdf |
| 2019 | ACL | # arch-recnn, task-textclass, task-lm | 0 | Finding Your Voice: The Linguistic Development of Mental Health Counselors | Justine Zhang, Robert Filbin, Christine Morrison, Jaclyn Weiser, Cristian Danescu-Niculescu-Mizil | https://www.aclweb.org/anthology/P19-1089.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 | # reg-stopping, arch-lstm, struct-crf, task-textpair, task-lm, task-seq2seq, task-alignment | 0 | Neural Network Alignment for Sentential Paraphrases | Jessica Ouyang, Kathy McKeown | https://www.aclweb.org/anthology/P19-1467.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 | # 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 | # task-lm | 0 | Online Infix Probability Computation for Probabilistic Finite Automata | Marco Cognetta, Yo-Sub Han, Soon Chan Kwon | https://www.aclweb.org/anthology/P19-1528.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, 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, 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-sgd, reg-norm, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, search-viterbi, pre-glove, pre-elmo, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq | 0 | Cross-Domain NER using Cross-Domain Language Modeling | Chen Jia, Xiaobo Liang, Yue Zhang | https://www.aclweb.org/anthology/P19-1236.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 | # 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, reg-dropout, reg-decay, pool-max, arch-rnn, arch-cnn, arch-coverage, search-beam, pre-glove, pre-skipthought, task-textpair, task-lm | 0 | A Cross-Domain Transferable Neural Coherence Model | Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/P19-1067.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, 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-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-adam, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-subword, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq | 2 | Like a Baby: Visually Situated Neural Language Acquisition | Alexander Ororbia, Ankur Mali, Matthew Kelly, David Reitter | https://www.aclweb.org/anthology/P19-1506.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-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-lm | 0 | Better Exploiting Latent Variables in Text Modeling | Canasai Kruengkrai | https://www.aclweb.org/anthology/P19-1553.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, 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 | # 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, 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, 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, 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 | # init-glorot, arch-rnn, arch-lstm, arch-gru, comb-ensemble, struct-hmm, loss-svd, task-lm | 0 | Interpolated Spectral NGram Language Models | Ariadna Quattoni, Xavier Carreras | https://www.aclweb.org/anthology/P19-1594.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 | # 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 | # train-mll, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | Unsupervised Joint Training of Bilingual Word Embeddings | Benjamin Marie, Atsushi Fujita | https://www.aclweb.org/anthology/P19-1312.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, 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 | # optim-sgd, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-coverage, arch-subword, pre-word2vec, pre-glove, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction | Mengjie Zhao, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1341.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 | # 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, 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-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, 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, 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 | # 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, arch-lstm, arch-bilstm, arch-subword, pre-glove, pre-elmo, task-textclass, task-lm, task-relation | 2 | Unsupervised Learning of PCFGs with Normalizing Flow | Lifeng Jin, Finale Doshi-Velez, Timothy Miller, Lane Schwartz, William Schuler | https://www.aclweb.org/anthology/P19-1234.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 | # 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, 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 | # 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 | # 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, train-mll, pre-word2vec, latent-topic, loss-svd, task-lm | 0 | A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains | Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, Sabine Schulte im Walde | https://www.aclweb.org/anthology/P19-1072.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, train-transfer, arch-lstm, adv-train, task-lm, task-seq2seq, task-relation | 0 | Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation | Yftah Ziser, Roi Reichart | https://www.aclweb.org/anthology/P19-1591.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-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 | # arch-coverage, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm | 1 | Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark | Nikita Nangia, Samuel R. Bowman | https://www.aclweb.org/anthology/P19-1449.pdf |
| 2019 | ACL | # optim-adam, arch-coverage, pre-bert, loss-margin, loss-triplet, task-textpair, task-lm | 1 | Learning to Rank for Plausible Plausibility | Zhongyang Li, Tongfei Chen, Benjamin Van Durme | https://www.aclweb.org/anthology/P19-1475.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-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 | # 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, 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 | # init-glorot, arch-bilinear, arch-subword, pre-fasttext, pre-glove, task-textpair, task-lm | 1 | Exploring Numeracy in Word Embeddings | Aakanksha Naik, Abhilasha Ravichander, Carolyn Rose, Eduard Hovy | https://www.aclweb.org/anthology/P19-1329.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, 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 | # 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 | # 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, 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 | # 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, 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, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, pre-glove, pre-skipthought, pre-elmo, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification | Tu Vu, Mohit Iyyer | https://www.aclweb.org/anthology/P19-1638.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, reg-dropout, arch-lstm, arch-treelstm, pre-elmo, struct-crf, latent-vae, task-lm, task-tree | 0 | Latent Variable Sentiment Grammar | Liwen Zhang, Kewei Tu, Yue Zhang | https://www.aclweb.org/anthology/P19-1457.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, reg-dropout, activ-relu, pool-max, arch-rnn, arch-gru, arch-bigru, task-lm, task-seq2seq | 1 | Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments | Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen | https://www.aclweb.org/anthology/P19-1635.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-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, arch-lstm, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, adv-examp, task-textclass, task-textpair, task-lm | 14 | HellaSwag: Can a Machine Really Finish Your Sentence? | Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi | https://www.aclweb.org/anthology/P19-1472.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, 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, train-transfer, arch-cnn, comb-ensemble, pre-bert, task-textclass, task-lm | 0 | A Surprisingly Robust Trick for the Winograd Schema Challenge | Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz | https://www.aclweb.org/anthology/P19-1478.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, struct-crf, adv-train, task-seqlab, task-lm | 2 | Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling | Nasser Zalmout, Nizar Habash | https://www.aclweb.org/anthology/P19-1173.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-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 | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-copy, arch-coverage, task-seqlab, task-lm | 6 | Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling | Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh | https://www.aclweb.org/anthology/P19-1598.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, 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 | # train-mll, arch-subword, comb-ensemble, adv-train, task-lm, task-seq2seq, task-alignment | 8 | An Effective Approach to Unsupervised Machine Translation | Mikel Artetxe, Gorka Labaka, Eneko Agirre | https://www.aclweb.org/anthology/P19-1019.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 | # optim-sgd, reg-dropout, reg-worddropout, reg-norm, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-transformer, task-lm, task-seq2seq | 2 | Improved Language Modeling by Decoding the Past | Siddhartha Brahma | https://www.aclweb.org/anthology/P19-1142.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-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, 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-adam, arch-rnn, arch-lstm, arch-transformer, pre-elmo, pre-bert, task-textpair, task-lm, task-cloze | 37 | BERT Rediscovers the Classical NLP Pipeline | Ian Tenney, Dipanjan Das, Ellie Pavlick | https://www.aclweb.org/anthology/P19-1452.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, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze | 0 | Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings | Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti | https://www.aclweb.org/anthology/P19-1168.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 | # 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 | # 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 | # 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 | # arch-coverage, pre-word2vec, pre-glove, pre-bert, latent-topic, task-textclass, task-lm, task-graph | 0 | Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings | Zied Haj-Yahia, Adrien Sieg, Léa A. Deleris | https://www.aclweb.org/anthology/P19-1036.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, train-active, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-gating, arch-subword, pre-fasttext, pre-glove, task-lm, task-seq2seq | 1 | Low-resource Deep Entity Resolution with Transfer and Active Learning | Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa | https://www.aclweb.org/anthology/P19-1586.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-sgd, optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-subword, pre-word2vec, pre-elmo, adv-train, loss-svd, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment | 1 | Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models | Takashi Wada, Tomoharu Iwata, Yuji Matsumoto | https://www.aclweb.org/anthology/P19-1300.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 | # 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, 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 | # 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, 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 | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | ner and pos when nothing is capitalized | Stephen Mayhew, Tatiana Tsygankova, Dan Roth | https://www.aclweb.org/anthology/D19-1650.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 | # 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 | # 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-sgd, reg-dropout, reg-patience, arch-lstm, latent-vae, task-textpair, task-lm | 1 | A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text | Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang | https://www.aclweb.org/anthology/D19-1370.pdf |
| 2019 | EMNLP | # reg-stopping, train-transfer, arch-transformer, latent-topic, task-lm, task-seq2seq, task-relation | 2 | Distributionally Robust Language Modeling | Yonatan Oren, Shiori Sagawa, Tatsunori Hashimoto, Percy Liang | https://www.aclweb.org/anthology/D19-1432.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 | # 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, 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 | # 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, 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 | # 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 | # 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-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 | # optim-adam, latent-topic, task-lm | 0 | Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings | Philippa Shoemark, Farhana Ferdousi Liza, Dong Nguyen, Scott Hale, Barbara McGillivray | https://www.aclweb.org/anthology/D19-1007.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 | # task-lm | 0 | Neural Linguistic Steganography | Zachary Ziegler, Yuntian Deng, Alexander Rush | https://www.aclweb.org/anthology/D19-1115.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, train-mll, train-transfer, pool-max, arch-subword, search-beam, loss-svd, task-lm, task-seq2seq | 1 | Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages | Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney | https://www.aclweb.org/anthology/D19-1080.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-coverage, arch-subword, pre-fasttext, pre-bert, loss-svd, task-lm | 0 | SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval | Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto, Goran Glavaš | https://www.aclweb.org/anthology/D19-3034.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, reg-stopping, reg-norm, reg-decay, arch-lstm, arch-bilstm, arch-bilinear, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation | 1 | Designing and Interpreting Probes with Control Tasks | John Hewitt, Percy Liang | https://www.aclweb.org/anthology/D19-1275.pdf |
| 2019 | EMNLP | # optim-projection, train-transfer, arch-rnn, arch-lstm, pre-elmo, pre-bert, adv-train, task-textclass, task-seqlab, task-lm, task-cloze | 4 | Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling | Xiaochuang Han, Jacob Eisenstein | https://www.aclweb.org/anthology/D19-1433.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-cnn, pre-glove, struct-crf, latent-vae, task-lm | 0 | Learning with Noisy Labels for Sentence-level Sentiment Classification | Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li | https://www.aclweb.org/anthology/D19-1655.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 | # 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-sgd, optim-adam, arch-lstm, arch-subword, loss-nce, task-lm, task-seq2seq | 0 | Experimenting with Power Divergences for Language Modeling | Matthieu Labeau, Shay B. Cohen | https://www.aclweb.org/anthology/D19-1421.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-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, train-mll, train-transfer, arch-coverage, arch-subword, task-lm, task-lexicon | 1 | Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction | Yova Kementchedjhieva, Mareike Hartmann, Anders Søgaard | https://www.aclweb.org/anthology/D19-1328.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 | # reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-coverage, pre-word2vec, struct-crf, task-textclass, task-lm, task-seq2seq | 0 | Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content | Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben | https://www.aclweb.org/anthology/D19-1239.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 | # 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-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, 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, 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 | # arch-coverage, pre-bert, task-lm, task-cloze | 3 | Commonsense Knowledge Mining from Pretrained Models | Joe Davison, Joshua Feldman, Alexander Rush | https://www.aclweb.org/anthology/D19-1109.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-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, 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 | # 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-adam, train-mll, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Machine Translation With Weakly Paired Documents | Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1446.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, 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, 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 | # 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, 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-adam, arch-gru, arch-memo, arch-transformer, pre-bert, task-lm, task-seq2seq | 0 | WikiCREM: A Large Unsupervised Corpus for Coreference Resolution | Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz | https://www.aclweb.org/anthology/D19-1439.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-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 | # 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, 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 | # 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, 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 | # 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-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 | # 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, 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 | # optim-adam, arch-lstm, arch-transformer, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm | 0 | How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings | Kawin Ethayarajh | https://www.aclweb.org/anthology/D19-1006.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-gru, arch-cnn, pre-word2vec, pre-skipthought, task-textpair, task-lm, task-seq2seq, task-lexicon | 0 | Incorporating Visual Semantics into Sentence Representations within a Grounded Space | Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari | https://www.aclweb.org/anthology/D19-1064.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-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 | # 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, reg-dropout, arch-rnn, search-beam, nondif-reinforce, task-lm, task-condlm | 1 | Improving Generative Visual Dialog by Answering Diverse Questions | Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das | https://www.aclweb.org/anthology/D19-1152.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-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 | # 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-sgd, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm, task-seq2seq, task-relation | 0 | Multiplex Word Embeddings for Selectional Preference Acquisition | Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, Dong Yu | https://www.aclweb.org/anthology/D19-1528.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 | # 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 | # 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 | # 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 | # optim-adam, reg-dropout, train-mll, train-transfer, arch-cnn, arch-transformer, pre-bert, task-textclass, task-lm, task-seq2seq, task-relation | 0 | Cross-lingual intent classification in a low resource industrial setting | Talaat Khalil, Kornel Kiełczewski, Georgios Christos Chouliaras, Amina Keldibek, Maarten Versteegh | https://www.aclweb.org/anthology/D19-1676.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, 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 | # 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-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, 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-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, 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 | # 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, 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 | # 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 | # train-transfer, arch-gru, task-lm, task-condlm, task-seq2seq | 1 | Domain Adaptive Text Style Transfer | Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, Ming-Ting Sun | https://www.aclweb.org/anthology/D19-1325.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 | # init-glorot, arch-lstm, arch-gru, search-sampling, pre-fasttext, latent-vae, task-textclass, task-lm, task-seq2seq | 1 | Implicit Deep Latent Variable Models for Text Generation | Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen | https://www.aclweb.org/anthology/D19-1407.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-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 | # 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 | # 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 | # 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, train-mtl, train-augment, arch-gru, task-lm, task-seq2seq | 1 | Structuring Latent Spaces for Stylized Response Generation | Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan | https://www.aclweb.org/anthology/D19-1190.pdf |
| 2019 | EMNLP | # arch-lstm, comb-ensemble, task-lm | 0 | Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition | Zhenjie Zhao, Andrew Cattle, Evangelos Papalexakis, Xiaojuan Ma | https://www.aclweb.org/anthology/D19-1669.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 | # arch-rnn, arch-lstm, search-beam, task-lm | 0 | Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study | Aixiu An, Peng Qian, Ethan Wilcox, Roger Levy | https://www.aclweb.org/anthology/D19-1287.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, arch-lstm, latent-vae, task-lm | 0 | Neural Gaussian Copula for Variational Autoencoder | Prince Zizhuang Wang, William Yang Wang | https://www.aclweb.org/anthology/D19-1442.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-transformer, pre-bert, task-spanlab, task-lm | 11 | Social IQa: Commonsense Reasoning about Social Interactions | Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi | https://www.aclweb.org/anthology/D19-1454.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 | # arch-rnn, arch-lstm, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-lm, task-seq2seq | 0 | uniblock: Scoring and Filtering Corpus with Unicode Block Information | Yingbo Gao, Weiyue Wang, Hermann Ney | https://www.aclweb.org/anthology/D19-1133.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, 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-sgd, train-mll, train-transfer, arch-lstm, arch-bilstm, task-lm, task-seq2seq, task-relation, task-lexicon | 0 | Multilingual and Multi-Aspect Hate Speech Analysis | Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung | https://www.aclweb.org/anthology/D19-1474.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 | # 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 | # 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-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, search-beam, pre-bert, task-lm, task-seq2seq, task-relation | 0 | Text Genre and Training Data Size in Human-like Parsing | John Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer, Jonathan Brennan | https://www.aclweb.org/anthology/D19-1594.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 | # train-augment, arch-subword, arch-transformer, comb-ensemble, search-beam, latent-vae, task-lm, task-seq2seq | 2 | Simple and Effective Noisy Channel Modeling for Neural Machine Translation | Kyra Yee, Yann Dauphin, Michael Auli | https://www.aclweb.org/anthology/D19-1571.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-rnn, arch-lstm, arch-gru, arch-cnn, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, meta-arch | 1 | RNN Architecture Learning with Sparse Regularization | Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith | https://www.aclweb.org/anthology/D19-1110.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-subword, pre-fasttext, task-lm, task-seq2seq, task-lexicon | 1 | Examining Gender Bias in Languages with Grammatical Gender | Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang | https://www.aclweb.org/anthology/D19-1531.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 | # 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 | # train-active, arch-lstm, arch-bilstm, arch-cnn, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm | 1 | CrossWeigh: Training Named Entity Tagger from Imperfect Annotations | Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han | https://www.aclweb.org/anthology/D19-1519.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 | # train-active, task-lm | 1 | MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation | Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan, Daniel Bean, Richard Dobson | https://www.aclweb.org/anthology/D19-3024.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-stopping, train-mll, train-transfer, arch-transformer, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq | 0 | A Robust Self-Learning Framework for Cross-Lingual Text Classification | Xin Dong, Gerard de Melo | https://www.aclweb.org/anthology/D19-1658.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-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 | # 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-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, 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-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-sgd, optim-adam, optim-adagrad, optim-projection, reg-dropout, train-mll, arch-rnn, arch-cnn, arch-bilinear, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-lexicon | 0 | Cross-lingual Semantic Specialization via Lexical Relation Induction | Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen | https://www.aclweb.org/anthology/D19-1226.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 | # optim-adam, reg-stopping, reg-patience, train-transfer, train-active, arch-lstm, arch-bilstm, comb-ensemble, pre-glove, pre-elmo, adv-examp, adv-train, task-lm | 0 | To Annotate or Not? Predicting Performance Drop under Domain Shift | Hady Elsahar, Matthias Gallé | https://www.aclweb.org/anthology/D19-1222.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, 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 | # 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 | # 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-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 | # 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 | # 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, 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-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 | # arch-lstm, arch-bilinear, arch-coverage, arch-subword, pre-elmo, pre-bert, latent-vae, task-textpair, task-lm | 0 | Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders | Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum | https://www.aclweb.org/anthology/D19-1161.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 | # task-lm, task-seq2seq | 0 | TEASPN: Framework and Protocol for Integrated Writing Assistance Environments | Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui | https://www.aclweb.org/anthology/D19-3039.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-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 | # 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 | # optim-sgd, optim-adam, reg-dropout, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-fasttext, task-textclass, task-lm, meta-arch | 0 | Sampling Bias in Deep Active Classification: An Empirical Study | Ameya Prabhu, Charles Dognin, Maneesh Singh | https://www.aclweb.org/anthology/D19-1417.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, reg-dropout, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, search-beam, pre-word2vec, struct-crf, latent-vae, task-seqlab, task-lm, task-relation, task-tree | 0 | Neural Generative Rhetorical Structure Parsing | Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos | https://www.aclweb.org/anthology/D19-1233.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-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-textpair, task-lm | 0 | Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation | Dong Qian, William K. Cheung | https://www.aclweb.org/anthology/D19-1416.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, train-mll, train-transfer, arch-lstm, task-lm, task-seq2seq, task-relation | 0 | Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding | Quynh Do, Judith Gaspers | https://www.aclweb.org/anthology/D19-1153.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 | # pre-word2vec, pre-glove, task-lm | 0 | Single Training Dimension Selection for Word Embedding with PCA | Yu Wang | https://www.aclweb.org/anthology/D19-1369.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-cnn, arch-coverage, pre-glove, struct-cfg, task-lm | 0 | What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments | David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan | https://www.aclweb.org/anthology/D19-1289.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 | # optim-adam, optim-projection, train-mll, train-transfer, train-active, pre-elmo, pre-bert, adv-train, latent-vae, task-textclass, task-seqlab, task-lm, task-seq2seq, task-lexicon | 2 | Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER | Phillip Keung, Yichao Lu, Vikas Bhardwaj | https://www.aclweb.org/anthology/D19-1138.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, optim-projection, init-glorot, train-mll, train-transfer, train-augment, arch-lstm, arch-transformer, pre-fasttext, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq, task-relation | 0 | A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages | Clara Vania, Yova Kementchedjhieva, Anders Søgaard, Adam Lopez | https://www.aclweb.org/anthology/D19-1102.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 | # pre-word2vec, pre-bert, task-lm, task-seq2seq | 1 | ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation | Qiongkai Xu, Chenchen Xu, Lizhen Qu | https://www.aclweb.org/anthology/D19-3003.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, 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 | # optim-adam, arch-rnn, arch-lstm, arch-cnn, nondif-reinforce, adv-train, latent-vae, task-lm | 0 | Learning Rhyming Constraints using Structured Adversaries | Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/D19-1621.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 | # 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-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 | # 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, 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 | # optim-sgd, optim-adam, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, meta-arch | 0 | Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition | Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu | https://www.aclweb.org/anthology/D19-1367.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 | # pre-glove, pre-bert, task-extractive, task-lm, task-condlm, task-seq2seq, task-tree | 1 | Counterfactual Story Reasoning and Generation | Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi | https://www.aclweb.org/anthology/D19-1509.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, adv-train, task-lm, task-seq2seq, task-relation, task-tree, task-graph | 0 | Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction | Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo Cecchi | https://www.aclweb.org/anthology/D19-1414.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-adam, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-elmo, task-textclass, task-lm | 0 | Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data | Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef, Mona Diab | https://www.aclweb.org/anthology/D19-1460.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 | # arch-lstm, arch-cnn, arch-transformer, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons | Ji Xin, Jimmy Lin, Yaoliang Yu | https://www.aclweb.org/anthology/D19-1591.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-projection, arch-lstm, arch-cnn, task-lm, task-condlm | 0 | Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation | Mingyang Zhou, Josh Arnold, Zhou Yu | https://www.aclweb.org/anthology/D19-1014.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 | # 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 | # 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, 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 | # optim-adam, arch-rnn, arch-gru, search-beam, latent-vae, latent-topic, task-lm, task-seq2seq | 0 | Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation | Min Zeng, Yisen Wang, Yuan Luo | https://www.aclweb.org/anthology/D19-1124.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 | # 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 | # 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-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, 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, init-glorot, reg-dropout, reg-stopping, train-mll, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-seq2seq | 0 | LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification | Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun | https://www.aclweb.org/anthology/D19-1554.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-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, optim-projection, reg-dropout, train-mll, train-transfer, arch-coverage, arch-subword, pre-fasttext, loss-svd, task-textpair, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment | 0 | Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? | Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen | https://www.aclweb.org/anthology/D19-1449.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 | # 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 | # 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 | # 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 | # arch-lstm, arch-bilstm, arch-coverage, pre-glove, pre-elmo, task-lm, task-seq2seq, task-alignment | 0 | Recursive Context-Aware Lexical Simplification | Sian Gooding, Ekaterina Kochmar | https://www.aclweb.org/anthology/D19-1491.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, optim-projection, reg-dropout, train-mll, arch-lstm, arch-subword, struct-crf, task-lm | 0 | Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary | Adithya Renduchintala, Philipp Koehn, Jason Eisner | https://www.aclweb.org/anthology/D19-1679.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, search-beam, task-lm, task-relation, task-tree | 0 | Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal | Benoit Crabbé, Murielle Fabre, Christophe Pallier | https://www.aclweb.org/anthology/D19-1106.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, train-mll, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-memo, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations | Mingda Chen, Zewei Chu, Kevin Gimpel | https://www.aclweb.org/anthology/D19-1060.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-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 | # optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, pre-elmo, loss-cca, loss-svd, task-seqlab, task-lm, task-seq2seq | 13 | Understanding Learning Dynamics Of Language Models with SVCCA | Naomi Saphra, Adam Lopez | https://www.aclweb.org/anthology/N19-1329.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, task-lm | 15 | The emergence of number and syntax units in LSTM language models | Yair Lakretz, German Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni | https://www.aclweb.org/anthology/N19-1002.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 | # train-transfer, arch-subword, task-lm, task-seq2seq | 5 | Reinforcement Learning based Curriculum Optimization for Neural Machine Translation | Gaurav Kumar, George Foster, Colin Cherry, Maxim Krikun | https://www.aclweb.org/anthology/N19-1208.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, train-mll, arch-lstm, task-lm, task-alignment | 2 | A Probabilistic Generative Model of Linguistic Typology | Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein | https://www.aclweb.org/anthology/N19-1156.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-projection, train-transfer, task-lm, task-seq2seq | 1 | Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus | Bai Li, Yi-Te Hsu, Frank Rudzicz | https://www.aclweb.org/anthology/N19-1199.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, 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 | # 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 | # train-mll, train-transfer, latent-topic, loss-nce, task-textclass, task-lm, task-alignment | 1 | Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling | Kathleen C. Fraser, Nicklas Linz, Bai Li, Kristina Lundholm Fors, Frank Rudzicz, Alexandra König, Jan Alexandersson, Philippe Robert, Dimitrios Kokkinakis | https://www.aclweb.org/anthology/N19-1367.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 | # 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-sgd, reg-dropout, reg-worddropout, reg-patience, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-subword, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm | 27 | Pooled Contextualized Embeddings for Named Entity Recognition | Alan Akbik, Tanja Bergmann, Roland Vollgraf | https://www.aclweb.org/anthology/N19-1078.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 | # 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-sgd, optim-adam, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm | 3 | Mining Discourse Markers for Unsupervised Sentence Representation Learning | Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller | https://www.aclweb.org/anthology/N19-1351.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, 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 | # reg-dropout, arch-rnn, arch-lstm, arch-coverage, search-beam, task-lm, task-tree | 6 | Structural Supervision Improves Learning of Non-Local Grammatical Dependencies | Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy | https://www.aclweb.org/anthology/N19-1334.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, train-transfer, arch-lstm, arch-cnn, arch-memo, latent-vae, task-lm | 3 | Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling | Prince Zizhuang Wang, William Yang Wang | https://www.aclweb.org/anthology/N19-1025.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation | 3 | Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging | Apostolos Kemos, Heike Adel, Hinrich Schütze | https://www.aclweb.org/anthology/N19-1280.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 | # 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 | # 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 | # 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-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 | # train-transfer, arch-lstm, arch-bilstm, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm | 1 | Using Similarity Measures to Select Pretraining Data for NER | Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cecile Paris | https://www.aclweb.org/anthology/N19-1149.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 | # 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 | # 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, 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 | # 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, 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 | # 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 | # train-mll, arch-lstm, arch-subword, pre-fasttext, pre-elmo, loss-svd, task-lm, task-seq2seq, task-relation, task-alignment | 8 | Context-Aware Cross-Lingual Mapping | Hanan Aldarmaki, Mona Diab | https://www.aclweb.org/anthology/N19-1391.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 | # optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-memo, pre-glove, loss-nce, task-spanlab, task-lm, task-seq2seq | 0 | Harry Potter and the Action Prediction Challenge from Natural Language | David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/N19-1218.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 | # 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 | # 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 | # 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 | # 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-adam, train-augment, pre-glove, pre-elmo, pre-bert, task-lm | 24 | Gender Bias in Contextualized Word Embeddings | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang | https://www.aclweb.org/anthology/N19-1064.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 | # arch-rnn, arch-lstm, arch-bilstm, arch-memo, task-spanlab, task-lm, task-tree | 0 | FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase | Kelvin Jiang, Dekun Wu, Hui Jiang | https://www.aclweb.org/anthology/N19-1028.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-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-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, 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, 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 | # 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 | # 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 | # optim-adam, train-mtl, arch-lstm, arch-gru, search-beam, task-lm, task-seq2seq | 8 | Jointly Optimizing Diversity and Relevance in Neural Response Generation | Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan | https://www.aclweb.org/anthology/N19-1125.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 | # 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 | # 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-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-transformer, comb-ensemble, pre-word2vec, latent-vae, task-lm | 0 | Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models | Yiben Yang, Ji-Ping Wang, Doug Downey | https://www.aclweb.org/anthology/N19-1330.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 | # 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 | # 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 | # init-glorot, arch-rnn, arch-lstm, comb-ensemble, latent-vae, task-textclass, task-lm | 12 | Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing | Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin | https://www.aclweb.org/anthology/N19-1021.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-cnn, task-lm | 0 | Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems | Ashwini Challa, Kartikeya Upasani, Anusha Balakrishnan, Rajen Subba | https://www.aclweb.org/anthology/N19-2027.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, train-mll, arch-rnn, arch-lstm, task-lm, task-relation | 6 | Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages | Shauli Ravfogel, Yoav Goldberg, Tal Linzen | https://www.aclweb.org/anthology/N19-1356.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-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-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 | # 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, reg-dropout, train-mtl, arch-rnn, arch-lstm, search-beam, task-lm | 9 | Neural language models as psycholinguistic subjects: Representations of syntactic state | Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy | https://www.aclweb.org/anthology/N19-1004.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, 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 | # 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 | # 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 | # reg-dropout, arch-rnn, arch-lstm, pre-word2vec, latent-vae, task-lm | 1 | Unsupervised Dialog Structure Learning | Weiyan Shi, Tiancheng Zhao, Zhou Yu | https://www.aclweb.org/anthology/N19-1178.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-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, 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 | # 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, 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 |