| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # arch-att, arch-copy, search-viterbi, pre-glove, task-extractive, task-seq2seq, task-relation | 2 | TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks | Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki | https://www.aclweb.org/anthology/P19-1204.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-cnn, arch-att, arch-transformer, pre-skipthought, pre-bert, task-extractive, task-lm, task-seq2seq, task-cloze | 0 | Sentence Centrality Revisited for Unsupervised Summarization | Hao Zheng, Mirella Lapata | https://www.aclweb.org/anthology/P19-1628.pdf |
| 2019 | ACL | # optim-adam, 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, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 2 | Incremental Transformer with Deliberation Decoder for Document Grounded Conversations | Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou | https://www.aclweb.org/anthology/P19-1002.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, latent-vae, loss-nce, task-seq2seq, task-tree, task-graph | 0 | Discourse Representation Parsing for Sentences and Documents | Jiangming Liu, Shay B. Cohen, Mirella Lapata | https://www.aclweb.org/anthology/P19-1629.pdf |
| 2019 | ACL | # optim-adam, train-transfer, arch-rnn, arch-gru, arch-att, arch-subword, task-lm, task-seq2seq | 3 | Multimodal Abstractive Summarization for How2 Videos | Shruti Palaskar, Jindřich Libovický, Spandana Gella, Florian Metze | https://www.aclweb.org/anthology/P19-1659.pdf |
| 2019 | ACL | # optim-adam, optim-projection, 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, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, search-beam, pre-bert, latent-vae, task-condlm, task-seq2seq | 1 | Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems | Hung Le, Doyen Sahoo, Nancy Chen, Steven Hoi | https://www.aclweb.org/anthology/P19-1564.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning | Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1231.pdf |
| 2019 | ACL | # arch-lstm, arch-gnn, arch-cnn, arch-att, arch-bilinear, pre-glove, latent-vae, loss-nce, task-seqlab, task-condlm, task-seq2seq, task-relation | 1 | Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization | Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency | https://www.aclweb.org/anthology/P19-1152.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq | 3 | E3: Entailment-driven Extracting and Editing for Conversational Machine Reading | Victor Zhong, Luke Zettlemoyer | https://www.aclweb.org/anthology/P19-1223.pdf |
| 2019 | ACL | # 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-adam, reg-dropout, train-mll, arch-lstm, arch-copy, arch-coverage, task-condlm, task-seq2seq | 2 | Handling Divergent Reference Texts when Evaluating Table-to-Text Generation | Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das, William Cohen | https://www.aclweb.org/anthology/P19-1483.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-coverage, arch-subword, task-seq2seq | 0 | CogNet: A Large-Scale Cognate Database | Khuyagbaatar Batsuren, Gabor Bella, Fausto Giunchiglia | https://www.aclweb.org/anthology/P19-1302.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, init-glorot, train-mll, arch-coverage, arch-subword, pre-fasttext, task-seq2seq | 0 | On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study | Damian Blasi, Ryan Cotterell, Lawrence Wolf-Sonkin, Sabine Stoll, Balthasar Bickel, Marco Baroni | https://www.aclweb.org/anthology/P19-1384.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, 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, optim-projection, pool-max, arch-cnn, arch-att, arch-transformer, pre-word2vec, latent-topic, task-textclass, task-seq2seq, task-alignment | 1 | Improving Textual Network Embedding with Global Attention via Optimal Transport | Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin | https://www.aclweb.org/anthology/P19-1512.pdf |
| 2019 | ACL | # optim-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, nondif-minrisk, task-seq2seq | 8 | Bridging the Gap between Training and Inference for Neural Machine Translation | Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu | https://www.aclweb.org/anthology/P19-1426.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-spanlab, task-lm, task-seq2seq | 4 | Cross-Lingual Training for Automatic Question Generation | Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi | https://www.aclweb.org/anthology/P19-1481.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-active, arch-rnn, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, task-seq2seq | 2 | Collaborative Dialogue in Minecraft | Anjali Narayan-Chen, Prashant Jayannavar, Julia Hockenmaier | https://www.aclweb.org/anthology/P19-1537.pdf |
| 2019 | ACL | # train-mll, train-parallel, arch-rnn, arch-att, arch-subword, pre-fasttext, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 1 | Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation | Viktor Hangya, Alexander Fraser | https://www.aclweb.org/anthology/P19-1118.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, activ-tanh, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq | 0 | Incorporating Linguistic Constraints into Keyphrase Generation | Jing Zhao, Yuxiang Zhang | https://www.aclweb.org/anthology/P19-1515.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-coverage, arch-subword, task-textpair, task-condlm, task-seq2seq | 1 | Simple and Effective Paraphrastic Similarity from Parallel Translations | John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/P19-1453.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, reg-labelsmooth, train-mtl, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, struct-cfg, task-textclass, task-lm, task-seq2seq, task-relation | 1 | Scalable Syntax-Aware Language Models Using Knowledge Distillation | Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom | https://www.aclweb.org/anthology/P19-1337.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, arch-rnn, arch-gru, arch-att, pre-word2vec, task-lm, task-seq2seq | 15 | Disentangled Representation Learning for Non-Parallel Text Style Transfer | Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova | https://www.aclweb.org/anthology/P19-1041.pdf |
| 2019 | ACL | # norm-layer, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, task-textclass, task-spanlab, task-lm, task-seq2seq | 5 | Large-Scale Transfer Learning for Natural Language Generation | Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, Thomas Wolf | https://www.aclweb.org/anthology/P19-1608.pdf |
| 2019 | ACL | # arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, latent-vae, task-seq2seq | 3 | Imitation Learning for Non-Autoregressive Neural Machine Translation | Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun | https://www.aclweb.org/anthology/P19-1125.pdf |
| 2019 | ACL | # optim-adam, 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, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-seq2seq | 1 | DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction | Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu | https://www.aclweb.org/anthology/P19-1137.pdf |
| 2019 | ACL | # optim-adam, 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-sgd, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-seqlab, task-seq2seq | 0 | End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories | Rui Mao, Chenghua Lin, Frank Guerin | https://www.aclweb.org/anthology/P19-1378.pdf |
| 2019 | ACL | # 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 | # optim-adam, init-glorot, reg-dropout, reg-decay, train-mtl, arch-lstm, arch-bilstm, arch-att, task-condlm, task-seq2seq | 1 | Storyboarding of Recipes: Grounded Contextual Generation | Khyathi Chandu, Eric Nyberg, Alan W Black | https://www.aclweb.org/anthology/P19-1606.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, search-beam, search-viterbi, pre-elmo, struct-crf, task-seqlab, task-seq2seq, task-tree | 0 | Span-Level Model for Relation Extraction | Kalpit Dixit, Yaser Al-Onaizan | https://www.aclweb.org/anthology/P19-1525.pdf |
| 2019 | ACL | # arch-rnn, arch-cnn, arch-copy, arch-coverage, task-seq2seq | 1 | HighRES: Highlight-based Reference-less Evaluation of Summarization | Hardy Hardy, Shashi Narayan, Andreas Vlachos | https://www.aclweb.org/anthology/P19-1330.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-coverage, comb-ensemble, search-viterbi, struct-crf, adv-train, task-textclass, task-seq2seq, task-relation | 0 | A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining | Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1516.pdf |
| 2019 | ACL | # train-mll, pool-max, arch-lstm, arch-att, arch-memo, nondif-reinforce, adv-train, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze, task-context | 1 | Self-Supervised Dialogue Learning | Jiawei Wu, Xin Wang, William Yang Wang | https://www.aclweb.org/anthology/P19-1375.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, norm-gradient, arch-rnn, arch-lstm, arch-att, search-beam, pre-elmo, latent-vae, task-extractive, task-lm, task-seq2seq | 1 | Simple Unsupervised Summarization by Contextual Matching | Jiawei Zhou, Alexander Rush | https://www.aclweb.org/anthology/P19-1503.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq | 0 | Inducing Document Structure for Aspect-based Summarization | Lea Frermann, Alexandre Klementiev | https://www.aclweb.org/anthology/P19-1630.pdf |
| 2019 | ACL | # reg-labelsmooth, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, latent-vae, task-seq2seq | 4 | Syntactically Supervised Transformers for Faster Neural Machine Translation | Nader Akoury, Kalpesh Krishna, Mohit Iyyer | https://www.aclweb.org/anthology/P19-1122.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seq2seq | 1 | Dense Procedure Captioning in Narrated Instructional Videos | Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou | https://www.aclweb.org/anthology/P19-1641.pdf |
| 2019 | ACL | # train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, adv-train, task-seq2seq | 0 | Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation | Francine Chen, Yan-Ying Chen | https://www.aclweb.org/anthology/P19-1211.pdf |
| 2019 | ACL | # optim-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-condlm, task-seq2seq | 0 | Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing | Yuanchao Liu, Bo Pang, Bingquan Liu | https://www.aclweb.org/anthology/P19-1552.pdf |
| 2019 | ACL | # optim-projection, arch-rnn, arch-gru, arch-att, arch-copy, arch-coverage, pre-glove, task-extractive, task-seq2seq | 1 | Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization | Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke | https://www.aclweb.org/anthology/P19-1210.pdf |
| 2019 | ACL | # optim-adadelta, 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, pool-max, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-paravec, task-condlm, task-seq2seq | 1 | Improving Visual Question Answering by Referring to Generated Paragraph Captions | Hyounghun Kim, Mohit Bansal | https://www.aclweb.org/anthology/P19-1351.pdf |
| 2019 | ACL | # train-mll, arch-rnn, arch-att, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq | 5 | Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention | Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, Weihua Luo | https://www.aclweb.org/anthology/P19-1305.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq | 2 | Soft Contextual Data Augmentation for Neural Machine Translation | Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu | https://www.aclweb.org/anthology/P19-1555.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq | 3 | Neural News Recommendation with Long- and Short-term User Representations | Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie | https://www.aclweb.org/anthology/P19-1033.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, train-transfer, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-lm, task-seq2seq, task-relation, task-lexicon | 1 | Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation | Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1119.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-gru, arch-gnn, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-spanlab, task-seq2seq | 6 | Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs | Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou | https://www.aclweb.org/anthology/P19-1260.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-relation | 1 | Neural Machine Translation with Reordering Embeddings | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita | https://www.aclweb.org/anthology/P19-1174.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-transfer, arch-gru, arch-gcnn, arch-cnn, arch-att, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Hierarchical Transfer Learning for Multi-label Text Classification | Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal, Kostas Tsioutsiouliklis | https://www.aclweb.org/anthology/P19-1633.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, comb-ensemble, task-seq2seq, task-tree | 0 | Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions | Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang | https://www.aclweb.org/anthology/P19-1619.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-glove, pre-bert, task-textclass, task-seqlab, task-seq2seq | 4 | DocRED: A Large-Scale Document-Level Relation Extraction Dataset | Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun | https://www.aclweb.org/anthology/P19-1074.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-treelstm, arch-att, pre-word2vec, pre-elmo, pre-bert, task-textpair, task-seq2seq, task-alignment | 0 | Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation | Nitika Mathur, Timothy Baldwin, Trevor Cohn | https://www.aclweb.org/anthology/P19-1269.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, pre-glove, loss-cca, task-seq2seq | 0 | Exploring Author Context for Detecting Intended vs Perceived Sarcasm | Silviu Oprea, Walid Magdy | https://www.aclweb.org/anthology/P19-1275.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-bert, task-spanlab, task-seq2seq | 0 | Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension | Zhengyuan Liu, Nancy Chen | https://www.aclweb.org/anthology/P19-1543.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-condlm, task-seq2seq | 2 | Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning | Zhihao Fan, Zhongyu Wei, Siyuan Wang, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1652.pdf |
| 2019 | ACL | # 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 | # arch-lstm, struct-crf, task-seqlab, task-seq2seq | 0 | Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models | Ruibo Wang, Jihong Li | https://www.aclweb.org/anthology/P19-1405.pdf |
| 2019 | ACL | # train-mtl, pool-max, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, pre-fasttext, pre-bert, task-lm, task-seq2seq, task-relation | 0 | Empirical Linguistic Study of Sentence Embeddings | Katarzyna Krasnowska-Kieraś, Alina Wróblewska | https://www.aclweb.org/anthology/P19-1573.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 3 | On the Word Alignment from Neural Machine Translation | Xintong Li, Guanlin Li, Lemao Liu, Max Meng, Shuming Shi | https://www.aclweb.org/anthology/P19-1124.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, task-lm, task-seq2seq | 1 | Towards Fine-grained Text Sentiment Transfer | Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun | https://www.aclweb.org/anthology/P19-1194.pdf |
| 2019 | ACL | # optim-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, init-glorot, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, loss-nce, task-seq2seq | 0 | Joint Effects of Context and User History for Predicting Online Conversation Re-entries | Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong | https://www.aclweb.org/anthology/P19-1270.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, pre-bert, adv-examp, latent-vae, task-spanlab, task-seq2seq | 3 | Learning to Ask Unanswerable Questions for Machine Reading Comprehension | Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu | https://www.aclweb.org/anthology/P19-1415.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-transfer, arch-rnn, arch-att, arch-subword, task-lm, task-seq2seq | 1 | Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation | Wei Wang, Isaac Caswell, Ciprian Chelba | https://www.aclweb.org/anthology/P19-1123.pdf |
| 2019 | ACL | # optim-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-projection, reg-dropout, train-mll, arch-rnn, arch-att, comb-ensemble, struct-hmm, task-seq2seq, task-relation, task-tree | 0 | Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages | Garrett Nicolai, David Yarowsky | https://www.aclweb.org/anthology/P19-1172.pdf |
| 2019 | ACL | # optim-adam, 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, reg-dropout, reg-labelsmooth, train-augment, arch-lstm, arch-att, arch-subword, arch-transformer, adv-examp, task-seq2seq | 5 | Robust Neural Machine Translation with Joint Textual and Phonetic Embedding | Hairong Liu, Mingbo Ma, Liang Huang, Hao Xiong, Zhongjun He | https://www.aclweb.org/anthology/P19-1291.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-att, search-beam, nondif-reinforce, loss-nce, task-seq2seq, task-tree | 0 | Unified Semantic Parsing with Weak Supervision | Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/P19-1473.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-residual, arch-gating, arch-subword, arch-transformer, comb-ensemble, search-beam, task-textclass, task-seq2seq | 1 | Depth Growing for Neural Machine Translation | Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu | https://www.aclweb.org/anthology/P19-1558.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-cnn, task-seq2seq | 4 | Evaluating Gender Bias in Machine Translation | Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer | https://www.aclweb.org/anthology/P19-1164.pdf |
| 2019 | ACL | # optim-adam, arch-gru, arch-att, arch-memo, arch-coverage, pre-bert, task-seq2seq | 0 | Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment | Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu | https://www.aclweb.org/anthology/P19-1535.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-batch, norm-gradient, train-transfer, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-elmo, loss-cca, task-lm, task-seq2seq, task-alignment | 1 | Multimodal and Multi-view Models for Emotion Recognition | Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang | https://www.aclweb.org/anthology/P19-1095.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, pre-glove, task-spanlab, task-seq2seq | 0 | Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text | Jianxing Yu, Zhengjun Zha, Jian Yin | https://www.aclweb.org/anthology/P19-1217.pdf |
| 2019 | ACL | # optim-adam, 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 | # arch-rnn, arch-lstm, arch-att, arch-transformer, search-beam, pre-glove, pre-bert, task-lm, task-condlm, task-seq2seq | 1 | Comparison of Diverse Decoding Methods from Conditional Language Models | Daphne Ippolito, Reno Kriz, Joao Sedoc, Maria Kustikova, Chris Callison-Burch | https://www.aclweb.org/anthology/P19-1365.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq, meta-init | 5 | Domain Adaptive Dialog Generation via Meta Learning | Kun Qian, Zhou Yu | https://www.aclweb.org/anthology/P19-1253.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-lstm, arch-att, arch-copy, pre-bert, struct-cfg, task-seq2seq, task-tree | 4 | Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation | Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang | https://www.aclweb.org/anthology/P19-1444.pdf |
| 2019 | ACL | # 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 | # 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 | # arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq | 5 | Simultaneous Translation with Flexible Policy via Restricted Imitation Learning | Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang | https://www.aclweb.org/anthology/P19-1582.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-coverage, arch-subword, pre-fasttext, adv-train, task-seq2seq, task-relation, task-lexicon, task-alignment | 6 | JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages | Željko Agić, Ivan Vulić | https://www.aclweb.org/anthology/P19-1310.pdf |
| 2019 | ACL | # reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, task-seq2seq | 1 | CNNs found to jump around more skillfully than RNNs: Compositional Generalization in Seq2seq Convolutional Networks | Roberto Dessì, Marco Baroni | https://www.aclweb.org/anthology/P19-1381.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-elmo, loss-svd, task-textclass, task-textpair, task-lm, task-seq2seq, meta-arch | 1 | Continual and Multi-Task Architecture Search | Ramakanth Pasunuru, Mohit Bansal | https://www.aclweb.org/anthology/P19-1185.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-seq2seq | 0 | Historical Text Normalization with Delayed Rewards | Simon Flachs, Marcel Bollmann, Anders Søgaard | https://www.aclweb.org/anthology/P19-1157.pdf |
| 2019 | ACL | # optim-adam, arch-att, arch-selfatt, arch-subword, arch-transformer, task-lm, task-seq2seq | 30 | Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned | Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/P19-1580.pdf |
| 2019 | ACL | # optim-adadelta, train-mll, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, comb-ensemble, pre-word2vec, pre-elmo, adv-train, task-lm, task-seq2seq | 0 | Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning | Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/P19-1429.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, comb-ensemble, pre-glove, task-textclass, task-condlm, task-seq2seq | 10 | Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog | Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao | https://www.aclweb.org/anthology/P19-1648.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, meta-init | 1 | Few-Shot Representation Learning for Out-Of-Vocabulary Words | Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun | https://www.aclweb.org/anthology/P19-1402.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-elmo, pre-bert, task-seqlab, task-spanlab, task-seq2seq | 0 | MCˆ2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension | Xuanyu Zhang | https://www.aclweb.org/anthology/P19-1622.pdf |
| 2019 | ACL | # optim-projection, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 8 | STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework | Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/P19-1289.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, train-transfer, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-greedy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree | 1 | Complex Question Decomposition for Semantic Parsing | Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang | https://www.aclweb.org/anthology/P19-1440.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq | 2 | Improving Abstractive Document Summarization with Salient Information Modeling | Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang | https://www.aclweb.org/anthology/P19-1205.pdf |
| 2019 | ACL | # train-mtl, arch-rnn, arch-lstm, arch-att, arch-transformer, search-beam, pre-bert, task-seq2seq | 1 | Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference | Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych | https://www.aclweb.org/anthology/P19-1213.pdf |
| 2019 | ACL | # train-augment, arch-lstm, arch-att, arch-transformer, task-lm, task-condlm, task-seq2seq | 1 | Visual Story Post-Editing | Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao Huang | https://www.aclweb.org/anthology/P19-1658.pdf |
| 2019 | ACL | # optim-adagrad, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq | 0 | On the Summarization of Consumer Health Questions | Asma Ben Abacha, Dina Demner-Fushman | https://www.aclweb.org/anthology/P19-1215.pdf |
| 2019 | ACL | # reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-seq2seq | 1 | Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks | Ahmad Aghaebrahimian, Mark Cieliebak | https://www.aclweb.org/anthology/P19-1557.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, adv-examp, task-textclass, task-seq2seq | 2 | On the Robustness of Self-Attentive Models | Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh | https://www.aclweb.org/anthology/P19-1147.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, struct-crf, latent-topic, task-seq2seq | 3 | Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv | https://www.aclweb.org/anthology/P19-1051.pdf |
| 2019 | ACL | # reg-dropout, arch-att, arch-subword, search-beam, task-seq2seq | 2 | Training Neural Machine Translation to Apply Terminology Constraints | Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan | https://www.aclweb.org/anthology/P19-1294.pdf |
| 2019 | ACL | # optim-adam, optim-amsgrad, init-glorot, pool-max, arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq | 0 | Learning to Select, Track, and Generate for Data-to-Text | Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura | https://www.aclweb.org/anthology/P19-1202.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, search-greedy, task-seq2seq, task-tree | 16 | Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems | Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung | https://www.aclweb.org/anthology/P19-1078.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, norm-layer, train-augment, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, search-greedy, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, task-tree, task-graph | 2 | Generating Logical Forms from Graph Representations of Text and Entities | Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun | https://www.aclweb.org/anthology/P19-1010.pdf |
| 2019 | ACL | # optim-adam, 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, 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 | # train-mll, train-transfer, train-augment, arch-att, arch-coverage, loss-nce, task-textclass, task-seq2seq | 4 | CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech | Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, Marco Guerini | https://www.aclweb.org/anthology/P19-1271.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, search-beam, pre-word2vec, adv-train, latent-vae, task-lm, task-condlm, task-seq2seq | 3 | Retrieval-Enhanced Adversarial Training for Neural Response Generation | Qingfu Zhu, Lei Cui, Wei-Nan Zhang, Furu Wei, Ting Liu | https://www.aclweb.org/anthology/P19-1366.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-seq2seq | 4 | Assessing the Ability of Self-Attention Networks to Learn Word Order | Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu | https://www.aclweb.org/anthology/P19-1354.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-lm, task-condlm, task-seq2seq | 1 | Informative Image Captioning with External Sources of Information | Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut | https://www.aclweb.org/anthology/P19-1650.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-relation | 2 | Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction | Christoph Alt, Marc Hübner, Leonhard Hennig | https://www.aclweb.org/anthology/P19-1134.pdf |
| 2019 | ACL | # optim-adam, 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 | # optim-adam, reg-stopping, pool-max, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-condlm, task-seq2seq | 1 | Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection | Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu | https://www.aclweb.org/anthology/P19-1006.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, search-viterbi, pre-glove, loss-nce, task-seq2seq, task-graph | 5 | Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue | Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba | https://www.aclweb.org/anthology/P19-1080.pdf |
| 2019 | ACL | # 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 | # reg-dropout, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, adv-train, task-seq2seq | 0 | Reference Network for Neural Machine Translation | Han Fu, Chenghao Liu, Jianling Sun | https://www.aclweb.org/anthology/P19-1287.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-active, arch-att, arch-memo, arch-transformer, pre-word2vec, pre-fasttext, latent-vae, loss-nce, task-seq2seq | 1 | Improving Neural Conversational Models with Entropy-Based Data Filtering | Richárd Csáky, Patrik Purgai, Gábor Recski | https://www.aclweb.org/anthology/P19-1567.pdf |
| 2019 | ACL | # train-mll, pool-max, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, task-textpair, task-extractive, task-seq2seq | 3 | Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization | Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu | https://www.aclweb.org/anthology/P19-1098.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, struct-crf, loss-nce, task-textpair, task-seq2seq | 1 | Optimal Transport-based Alignment of Learned Character Representations for String Similarity | Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum | https://www.aclweb.org/anthology/P19-1592.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seqlab, task-seq2seq | 0 | Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title | Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang, Man Lan | https://www.aclweb.org/anthology/P19-1514.pdf |
| 2019 | ACL | # 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, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-coverage, arch-energy, comb-ensemble, search-beam, task-seq2seq, task-relation, task-tree | 2 | Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies | Shuhei Kurita, Anders Søgaard | https://www.aclweb.org/anthology/P19-1232.pdf |
| 2019 | ACL | # optim-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-beam, task-seqlab, task-lm, task-condlm, task-seq2seq, task-relation | 0 | Generating Responses with a Specific Emotion in Dialog | Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1359.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-transfer, train-active, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq | 0 | Self-Regulated Interactive Sequence-to-Sequence Learning | Julia Kreutzer, Stefan Riezler | https://www.aclweb.org/anthology/P19-1029.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-gru, arch-att, arch-memo, arch-copy, search-greedy, loss-nce, task-seq2seq | 0 | A Working Memory Model for Task-oriented Dialog Response Generation | Xiuyi Chen, Jiaming Xu, Bo Xu | https://www.aclweb.org/anthology/P19-1258.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, search-beam, loss-margin, task-seq2seq | 4 | Neural Relation Extraction for Knowledge Base Enrichment | Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang | https://www.aclweb.org/anthology/P19-1023.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, nondif-reinforce, task-extractive, task-lm, task-condlm, task-seq2seq, task-lexicon | 2 | Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts | Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith | https://www.aclweb.org/anthology/P19-1264.pdf |
| 2019 | ACL | # optim-adam, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, task-lm, task-seq2seq, task-tree | 1 | Semantic Parsing with Dual Learning | Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu | https://www.aclweb.org/anthology/P19-1007.pdf |
| 2019 | ACL | # arch-att, arch-transformer, comb-ensemble, search-beam, pre-bert, task-spanlab, task-lm, task-seq2seq | 9 | Synthetic QA Corpora Generation with Roundtrip Consistency | Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins | https://www.aclweb.org/anthology/P19-1620.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-gating, arch-memo, arch-coverage, pre-word2vec, adv-train, latent-vae, task-seq2seq | 0 | Enhancing Topic-to-Essay Generation with External Commonsense Knowledge | Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun | https://www.aclweb.org/anthology/P19-1193.pdf |
| 2019 | ACL | # optim-adam, 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 | # train-mll, arch-coverage, task-seq2seq | 0 | Crowdsourcing and Validating Event-focused Emotion Corpora for German and English | Enrica Troiano, Sebastian Padó, Roman Klinger | https://www.aclweb.org/anthology/P19-1391.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-gru, arch-att, comb-ensemble, search-beam, task-seq2seq | 3 | Learning to Abstract for Memory-augmented Conversational Response Generation | Zhiliang Tian, Wei Bi, Xiaopeng Li, Nevin L. Zhang | https://www.aclweb.org/anthology/P19-1371.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-gru, arch-att, pre-fasttext, adv-train, task-seq2seq, task-lexicon | 0 | Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders | Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1297.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, search-beam, latent-vae, task-textclass, task-lm, task-seq2seq | 2 | Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking | Masaru Isonuma, Junichiro Mori, Ichiro Sakata | https://www.aclweb.org/anthology/P19-1206.pdf |
| 2019 | ACL | # optim-adam, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq | 4 | Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction | Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita | https://www.aclweb.org/anthology/P19-1225.pdf |
| 2019 | ACL | # optim-adam, comb-ensemble, pre-bert, adv-examp, task-textpair, task-spanlab, task-seq2seq | 3 | Misleading Failures of Partial-input Baselines | Shi Feng, Eric Wallace, Jordan Boyd-Graber | https://www.aclweb.org/anthology/P19-1554.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-spanlab, task-seq2seq | 2 | Explicit Utilization of General Knowledge in Machine Reading Comprehension | Chao Wang, Hui Jiang | https://www.aclweb.org/anthology/P19-1219.pdf |
| 2019 | ACL | # reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, task-textclass, task-seqlab, task-seq2seq | 0 | Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning | Quanzhi Li, Qiong Zhang, Luo Si | https://www.aclweb.org/anthology/P19-1113.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, latent-topic, task-seq2seq | 2 | Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information | Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun | https://www.aclweb.org/anthology/P19-1257.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, arch-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, norm-batch, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, task-textclass, task-textpair, task-lm, task-seq2seq | 4 | Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks | Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui | https://www.aclweb.org/anthology/P19-1145.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-condlm, task-seq2seq | 1 | Negative Lexically Constrained Decoding for Paraphrase Generation | Tomoyuki Kajiwara | https://www.aclweb.org/anthology/P19-1607.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-bilinear, task-textclass, task-spanlab, task-seq2seq | 0 | ChID: A Large-scale Chinese IDiom Dataset for Cloze Test | Chujie Zheng, Minlie Huang, Aixin Sun | https://www.aclweb.org/anthology/P19-1075.pdf |
| 2019 | ACL | # 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 | # optim-adam, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, task-seqlab, task-seq2seq, task-relation | 0 | Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation | Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao | https://www.aclweb.org/anthology/P19-1196.pdf |
| 2019 | ACL | # 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 | # train-mll, arch-lstm, arch-att, arch-transformer, comb-ensemble, search-beam, loss-nce, task-seq2seq | 0 | Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study | Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou | https://www.aclweb.org/anthology/P19-1609.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-coverage, search-beam, pre-word2vec, pre-bert, nondif-reinforce, latent-vae, task-seqlab, task-condlm, task-seq2seq, task-relation, task-tree, task-graph | 0 | Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning | Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros | https://www.aclweb.org/anthology/P19-1451.pdf |
| 2019 | ACL | # reg-labelsmooth, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, search-beam, pre-word2vec, task-seqlab, task-seq2seq, task-relation | 0 | Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages | Amrith Krishna, Vishnu Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri, Pawan Goyal | https://www.aclweb.org/anthology/P19-1111.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-decay, train-augment, arch-rnn, arch-att, arch-bilinear, arch-subword, task-textclass, task-lm, task-seq2seq, task-relation | 5 | Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology | Ran Zmigrod, Sebastian J. Mielke, Hanna Wallach, Ryan Cotterell | https://www.aclweb.org/anthology/P19-1161.pdf |
| 2019 | ACL | # 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 | # arch-rnn, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, loss-margin, task-textpair, task-seq2seq, task-relation | 1 | Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks | Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong | https://www.aclweb.org/anthology/P19-1244.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, adv-examp, task-spanlab, task-seq2seq, task-alignment | 1 | Improving the Robustness of Question Answering Systems to Question Paraphrasing | Wee Chung Gan, Hwee Tou Ng | https://www.aclweb.org/anthology/P19-1610.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-textpair, task-seqlab, task-spanlab, task-seq2seq | 2 | Augmenting Neural Networks with First-order Logic | Tao Li, Vivek Srikumar | https://www.aclweb.org/anthology/P19-1028.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, struct-cfg, adv-train, latent-vae, task-lm, task-seq2seq | 0 | Generating Sentences from Disentangled Syntactic and Semantic Spaces | Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/P19-1602.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-margin, task-lm, task-seq2seq | 0 | Self-Supervised Neural Machine Translation | Dana Ruiter, Cristina España-Bonet, Josef van Genabith | https://www.aclweb.org/anthology/P19-1178.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-batch, norm-gradient, arch-lstm, arch-att, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq | 2 | Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets | Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1435.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, struct-crf, task-seqlab, task-seq2seq | 1 | A Neural Multi-digraph Model for Chinese NER with Gazetteers | Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si | https://www.aclweb.org/anthology/P19-1141.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-lm, task-seq2seq | 1 | Knowledge-aware Pronoun Coreference Resolution | Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu | https://www.aclweb.org/anthology/P19-1083.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, task-seq2seq | 0 | Argument Generation with Retrieval, Planning, and Realization | Xinyu Hua, Zhe Hu, Lu Wang | https://www.aclweb.org/anthology/P19-1255.pdf |
| 2019 | ACL | # optim-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, reg-stopping, arch-gru, arch-att, pre-bert, task-seq2seq | 0 | Determining Relative Argument Specificity and Stance for Complex Argumentative Structures | Esin Durmus, Faisal Ladhak, Claire Cardie | https://www.aclweb.org/anthology/P19-1456.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-vae, task-seq2seq | 3 | Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation | Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou | https://www.aclweb.org/anthology/P19-1288.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq | 0 | Using Human Attention to Extract Keyphrase from Microblog Post | Yingyi Zhang, Chengzhi Zhang | https://www.aclweb.org/anthology/P19-1588.pdf |
| 2019 | ACL | # train-mll, arch-att, arch-subword, search-beam, pre-fasttext, task-lm, task-seq2seq | 0 | Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation | Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May | https://www.aclweb.org/anthology/P19-1293.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-gradient, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-copy, search-beam, latent-vae, latent-topic, task-textclass, task-seq2seq | 3 | Topic-Aware Neural Keyphrase Generation for Social Media Language | Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi | https://www.aclweb.org/anthology/P19-1240.pdf |
| 2019 | ACL | # optim-adam, init-glorot, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, nondif-reinforce, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Towards Comprehensive Description Generation from Factual Attribute-value Tables | Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui | https://www.aclweb.org/anthology/P19-1600.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, task-extractive, task-seq2seq, task-tree | 1 | Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder | Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko | https://www.aclweb.org/anthology/P19-1407.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-att, arch-coverage, latent-vae, task-lm, task-seq2seq, task-tree | 0 | Syntax-Infused Variational Autoencoder for Text Generation | Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin | https://www.aclweb.org/anthology/P19-1199.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-word2vec, struct-crf, task-seq2seq | 0 | Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts | Rui Xia, Zixiang Ding | https://www.aclweb.org/anthology/P19-1096.pdf |
| 2019 | ACL | # optim-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, arch-rnn, arch-lstm, arch-gnn, arch-subword, pre-glove, task-seq2seq, meta-init | 0 | Embedding Imputation with Grounded Language Information | Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve | https://www.aclweb.org/anthology/P19-1326.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, norm-gradient, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion | Suyoun Kim, Siddharth Dalmia, Florian Metze | https://www.aclweb.org/anthology/P19-1107.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-coverage, comb-ensemble, task-textpair, task-lm, task-seq2seq, task-tree | 3 | An Imitation Learning Approach to Unsupervised Parsing | Bowen Li, Lili Mou, Frank Keller | https://www.aclweb.org/anthology/P19-1338.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, latent-topic, task-textclass, task-seqlab, task-seq2seq, task-graph | 2 | Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model | Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu Sun | https://www.aclweb.org/anthology/P19-1479.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-lm, task-seq2seq, task-tree | 0 | Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models | Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin | https://www.aclweb.org/anthology/P19-1200.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-layer, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-tree | 4 | Decomposable Neural Paraphrase Generation | Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu | https://www.aclweb.org/anthology/P19-1332.pdf |
| 2019 | ACL | # optim-adam, 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 | # 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, optim-projection, arch-att, arch-selfatt, arch-transformer, search-beam, nondif-reinforce, task-seq2seq | 0 | Look Harder: A Neural Machine Translation Model with Hard Attention | Sathish Reddy Indurthi, Insoo Chung, Sangha Kim | https://www.aclweb.org/anthology/P19-1290.pdf |
| 2019 | ACL | # train-mll, train-transfer, pool-max, pool-mean, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-subword, task-textclass, task-seq2seq | 4 | Exploiting Sentential Context for Neural Machine Translation | Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi | https://www.aclweb.org/anthology/P19-1624.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-gru, arch-bigru, arch-att, pre-word2vec, latent-vae, task-seq2seq | 1 | Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables | Lei Shen, Yang Feng, Haolan Zhan | https://www.aclweb.org/anthology/P19-1549.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, comb-ensemble, task-textclass, task-lm, task-seq2seq | 0 | StRE: Self Attentive Edit Quality Prediction in Wikipedia | Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee | https://www.aclweb.org/anthology/P19-1387.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-transfer, pool-max, pool-kmax, arch-lstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-fasttext, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations | Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander Fabbri, William Hu, Neha Verma, Dragomir Radev | https://www.aclweb.org/anthology/P19-1306.pdf |
| 2019 | ACL | # train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq | 0 | Literary Event Detection | Matthew Sims, Jong Ho Park, David Bamman | https://www.aclweb.org/anthology/P19-1353.pdf |
| 2019 | ACL | # train-mll, train-transfer, train-augment, arch-att, arch-subword, task-lm, task-seq2seq | 2 | Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation | Xinyi Wang, Graham Neubig | https://www.aclweb.org/anthology/P19-1583.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-bert, adv-examp, adv-train, latent-vae, task-textclass, task-textpair, task-seq2seq | 0 | Soft Representation Learning for Sparse Transfer | Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang | https://www.aclweb.org/anthology/P19-1151.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-att, task-seq2seq | 1 | Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection | Maria Corkery, Yevgen Matusevych, Sharon Goldwater | https://www.aclweb.org/anthology/P19-1376.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, adv-train, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment | 1 | Domain Adaptation of Neural Machine Translation by Lexicon Induction | Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime Carbonell | https://www.aclweb.org/anthology/P19-1286.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-lstm, arch-coverage, pre-word2vec, task-seq2seq | 3 | Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning | Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych | https://www.aclweb.org/anthology/P19-1572.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, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-glove, pre-bert, task-spanlab, task-seq2seq | 4 | Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading | Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao | https://www.aclweb.org/anthology/P19-1539.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, reg-stopping, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-tree | 2 | Unsupervised Question Answering by Cloze Translation | Patrick Lewis, Ludovic Denoyer, Sebastian Riedel | https://www.aclweb.org/anthology/P19-1484.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, task-textpair, task-seq2seq | 1 | ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation | Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng | https://www.aclweb.org/anthology/P19-1362.pdf |
| 2019 | ACL | # optim-adam, 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 | # 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 | # init-glorot, reg-dropout, train-transfer, arch-att, pre-elmo, loss-cca, task-seq2seq | 2 | Fine-Grained Temporal Relation Extraction | Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White | https://www.aclweb.org/anthology/P19-1280.pdf |
| 2019 | ACL | # reg-dropout, train-mll, arch-lstm, arch-att, task-seq2seq | 1 | Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table | Matthew Shardlow, Raheel Nawaz | https://www.aclweb.org/anthology/P19-1037.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-gating, arch-transformer, comb-ensemble, search-beam, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq | 5 | Multi-style Generative Reading Comprehension | Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita | https://www.aclweb.org/anthology/P19-1220.pdf |
| 2019 | ACL | # optim-adam, 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, optim-adadelta, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, arch-subword, pre-glove, pre-bert, struct-crf, task-seqlab, task-spanlab, task-lm, task-seq2seq | 1 | A Lightweight Recurrent Network for Sequence Modeling | Biao Zhang, Rico Sennrich | https://www.aclweb.org/anthology/P19-1149.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq, task-relation | 5 | Lattice-Based Transformer Encoder for Neural Machine Translation | Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen | https://www.aclweb.org/anthology/P19-1298.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-att, task-textpair, task-spanlab, task-seq2seq | 0 | HEAD-QA: A Healthcare Dataset for Complex Reasoning | David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/P19-1092.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-stopping, train-mtl, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-transformer, search-beam, task-condlm, task-seq2seq | 4 | Distilling Translations with Visual Awareness | Julia Ive, Pranava Madhyastha, Lucia Specia | https://www.aclweb.org/anthology/P19-1653.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, reg-labelsmooth, train-mll, train-transfer, arch-att, arch-selfatt, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze | 1 | A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning | Gonçalo M. Correia, André F. T. Martins | https://www.aclweb.org/anthology/P19-1292.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-energy, arch-transformer, search-beam, task-seq2seq | 2 | Self-Attentional Models for Lattice Inputs | Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel | https://www.aclweb.org/anthology/P19-1115.pdf |
| 2019 | ACL | # reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, task-seq2seq, task-lexicon | 1 | Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering | Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, Jiajun Chen | https://www.aclweb.org/anthology/P19-1616.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, latent-vae, loss-margin, task-seq2seq | 2 | Latent Variable Model for Multi-modal Translation | Iacer Calixto, Miguel Rios, Wilker Aziz | https://www.aclweb.org/anthology/P19-1642.pdf |
| 2019 | ACL | # optim-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 | # arch-rnn, arch-lstm, arch-att, task-lm, task-seq2seq | 1 | A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer | Chen Wu, Xuancheng Ren, Fuli Luo, Xu Sun | https://www.aclweb.org/anthology/P19-1482.pdf |
| 2019 | ACL | # optim-adagrad, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq | 2 | BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization | Eva Sharma, Chen Li, Lu Wang | https://www.aclweb.org/anthology/P19-1212.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq, task-alignment | 10 | Monotonic Infinite Lookback Attention for Simultaneous Machine Translation | Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel | https://www.aclweb.org/anthology/P19-1126.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-parallel, arch-lstm, arch-att, comb-ensemble, task-seqlab, task-seq2seq | 0 | FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms | Henry Moss, Andrew Moore, David Leslie, Paul Rayson | https://www.aclweb.org/anthology/P19-1281.pdf |
| 2019 | ACL | # arch-lstm, arch-att, arch-coverage, pre-bert, task-lm, task-seq2seq | 0 | Unsupervised Rewriter for Multi-Sentence Compression | Yang Zhao, Xiaoyu Shen, Wei Bi, Akiko Aizawa | https://www.aclweb.org/anthology/P19-1216.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gnn, arch-att, arch-energy, search-beam, pre-glove, struct-crf, nondif-minrisk, task-textclass, task-seq2seq | 3 | Joint Type Inference on Entities and Relations via Graph Convolutional Networks | Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan | https://www.aclweb.org/anthology/P19-1131.pdf |
| 2019 | ACL | # init-glorot, reg-stopping, train-mtl, arch-lstm, arch-memo, search-beam, pre-glove, latent-vae, task-seqlab, task-seq2seq, task-tree | 2 | Controllable Paraphrase Generation with a Syntactic Exemplar | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel | https://www.aclweb.org/anthology/P19-1599.pdf |
| 2019 | ACL | # optim-adam, optim-projection, norm-layer, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-seq2seq | 9 | Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention | Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang | https://www.aclweb.org/anthology/P19-1360.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-att, arch-memo, task-seq2seq | 1 | Learning to Control the Fine-grained Sentiment for Story Ending Generation | Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun | https://www.aclweb.org/anthology/P19-1603.pdf |
| 2019 | ACL | # 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-sgd, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, comb-ensemble, pre-glove, task-seq2seq | 1 | A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation | Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin | https://www.aclweb.org/anthology/P19-1256.pdf |
| 2019 | ACL | # optim-adam, 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, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-copy, pre-glove, nondif-minrisk, latent-vae, task-seq2seq, task-relation | 7 | Towards Explainable NLP: A Generative Explanation Framework for Text Classification | Hui Liu, Qingyu Yin, William Yang Wang | https://www.aclweb.org/anthology/P19-1560.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-topic, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree | 2 | Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding | Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song | https://www.aclweb.org/anthology/P19-1190.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-fasttext, pre-glove, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation, task-alignment | 1 | Exploring Sequence-to-Sequence Learning in Aspect Term Extraction | Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang | https://www.aclweb.org/anthology/P19-1344.pdf |
| 2019 | ACL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-lm, task-condlm, task-seq2seq | 0 | Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports | Baoyu Jing, Zeya Wang, Eric Xing | https://www.aclweb.org/anthology/P19-1657.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, task-seq2seq | 2 | Global Optimization under Length Constraint for Neural Text Summarization | Takuya Makino, Tomoya Iwakura, Hiroya Takamura, Manabu Okumura | https://www.aclweb.org/anthology/P19-1099.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-topic, task-condlm, task-seq2seq | 2 | Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards | Hou Pong Chan, Wang Chen, Lu Wang, Irwin King | https://www.aclweb.org/anthology/P19-1208.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-memo, arch-transformer, pre-glove, pre-skipthought, task-textpair, task-lm, task-seq2seq | 0 | You Only Need Attention to Traverse Trees | Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer | https://www.aclweb.org/anthology/P19-1030.pdf |
| 2019 | ACL | # init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, task-seq2seq, task-relation, task-graph | 2 | Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG | Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi, Marilyn Walker | https://www.aclweb.org/anthology/P19-1596.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, train-mtl, train-mll, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq | 2 | A Multi-Task Architecture on Relevance-based Neural Query Translation | Sheikh Muhammad Sarwar, Hamed Bonab, James Allan | https://www.aclweb.org/anthology/P19-1639.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree | 0 | Reinforced Dynamic Reasoning for Conversational Question Generation | Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun | https://www.aclweb.org/anthology/P19-1203.pdf |
| 2019 | ACL | # train-mll, pre-fasttext, task-seq2seq, task-lexicon | 1 | Hubless Nearest Neighbor Search for Bilingual Lexicon Induction | Jiaji Huang, Qiang Qiu, Kenneth Church | https://www.aclweb.org/anthology/P19-1399.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, reg-norm, norm-gradient, train-mtl, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, pre-glove, task-seq2seq, task-graph | 0 | Tree Communication Models for Sentiment Analysis | Yuan Zhang, Yue Zhang | https://www.aclweb.org/anthology/P19-1342.pdf |
| 2019 | ACL | # train-transfer, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-relation, task-alignment | 1 | Sentence-Level Agreement for Neural Machine Translation | Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Min Zhang, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1296.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, adv-examp, latent-vae, task-lm, task-condlm, task-seq2seq | 0 | Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation | Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun | https://www.aclweb.org/anthology/P19-1197.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, pool-kmax, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-bilinear, task-seq2seq | 1 | BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization | Kai Wang, Xiaojun Quan, Rui Wang | https://www.aclweb.org/anthology/P19-1207.pdf |
| 2019 | ACL | # optim-adam, init-glorot, norm-layer, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Text Categorization by Learning Predominant Sense of Words as Auxiliary Task | Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto | https://www.aclweb.org/anthology/P19-1105.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, latent-topic, task-seq2seq | 3 | Generating Summaries with Topic Templates and Structured Convolutional Decoders | Laura Perez-Beltrachini, Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/P19-1504.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, loss-margin, task-seqlab, task-seq2seq | 15 | Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings | Mikel Artetxe, Holger Schwenk | https://www.aclweb.org/anthology/P19-1309.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, arch-rnn, arch-att, arch-memo, arch-coverage, pre-bert, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | TWEETQA: A Social Media Focused Question Answering Dataset | Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang | https://www.aclweb.org/anthology/P19-1496.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, reg-stopping, reg-patience, reg-labelsmooth, norm-layer, arch-rnn, arch-att, arch-subword, arch-transformer, search-beam, task-seqlab, task-lm, task-seq2seq, task-alignment | 5 | Revisiting Low-Resource Neural Machine Translation: A Case Study | Rico Sennrich, Biao Zhang | https://www.aclweb.org/anthology/P19-1021.pdf |
| 2019 | ACL | # train-mtl, arch-lstm, arch-cnn, arch-att, task-condlm, task-seq2seq | 0 | Learning to Relate from Captions and Bounding Boxes | Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli | https://www.aclweb.org/anthology/P19-1660.pdf |
| 2019 | ACL | # init-glorot, arch-copy, arch-coverage, loss-nce, task-seq2seq, task-relation, task-tree | 3 | Transforming Complex Sentences into a Semantic Hierarchy | Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh | https://www.aclweb.org/anthology/P19-1333.pdf |
| 2019 | ACL | # reg-decay, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree | 8 | Explain Yourself! Leveraging Language Models for Commonsense Reasoning | Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher | https://www.aclweb.org/anthology/P19-1487.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-cnn, arch-att, comb-ensemble, adv-train, latent-vae, latent-topic, task-textclass, task-seq2seq | 0 | Semi-supervised Stochastic Multi-Domain Learning using Variational Inference | Yitong Li, Timothy Baldwin, Trevor Cohn | https://www.aclweb.org/anthology/P19-1186.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, 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 | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-word2vec, task-seqlab, task-seq2seq | 0 | Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation | Cao Liu, Shizhu He, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/P19-1367.pdf |
| 2019 | ACL | # arch-rnn, arch-att, pre-word2vec, pre-fasttext, pre-glove, task-textclass, task-lm, task-condlm, task-seq2seq | 3 | VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions | Pranava Madhyastha, Josiah Wang, Lucia Specia | https://www.aclweb.org/anthology/P19-1654.pdf |
| 2019 | ACL | # optim-adam, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, task-seq2seq | 5 | Scoring Sentence Singletons and Pairs for Abstractive Summarization | Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu | https://www.aclweb.org/anthology/P19-1209.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq | 1 | Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation | Benjamin Heinzerling, Michael Strube | https://www.aclweb.org/anthology/P19-1027.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, task-seq2seq, task-relation, task-tree, task-graph | 0 | SemBleu: A Robust Metric for AMR Parsing Evaluation | Linfeng Song, Daniel Gildea | https://www.aclweb.org/anthology/P19-1446.pdf |
| 2019 | ACL | # 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-gradient, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, pre-word2vec, task-extractive, task-seq2seq | 0 | This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation | Rui Zhang, Joel Tetreault | https://www.aclweb.org/anthology/P19-1043.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-norm, reg-labelsmooth, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-seqlab, task-seq2seq, task-relation | 3 | Leveraging Local and Global Patterns for Self-Attention Networks | Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao | https://www.aclweb.org/anthology/P19-1295.pdf |
| 2019 | ACL | # optim-adam, norm-layer, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq | 1 | A Compact and Language-Sensitive Multilingual Translation Method | Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu, Chengqing Zong | https://www.aclweb.org/anthology/P19-1117.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-greedy, search-beam, pre-glove, task-condlm, task-seq2seq, task-tree | 2 | Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation | Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko | https://www.aclweb.org/anthology/P19-1655.pdf |
| 2019 | ACL | # train-mtl, pool-mean, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-textclass, task-textpair, task-extractive, task-seq2seq | 3 | Searching for Effective Neural Extractive Summarization: What Works and What’s Next | Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1100.pdf |
| 2019 | ACL | # reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, search-beam, task-seq2seq | 0 | Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation | Bram Bulte, Arda Tezcan | https://www.aclweb.org/anthology/P19-1175.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-transformer, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq | 1 | Coreference Resolution with Entity Equalization | Ben Kantor, Amir Globerson | https://www.aclweb.org/anthology/P19-1066.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, struct-crf, task-seq2seq, task-tree | 2 | Robust Zero-Shot Cross-Domain Slot Filling with Example Values | Darsh Shah, Raghav Gupta, Amir Fayazi, Dilek Hakkani-Tur | https://www.aclweb.org/anthology/P19-1547.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, search-beam, pre-glove, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 0 | A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching | Jihun Choi, Taeuk Kim, Sang-goo Lee | https://www.aclweb.org/anthology/P19-1469.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree | 1 | Improving Multi-turn Dialogue Modelling with Utterance ReWriter | Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou | https://www.aclweb.org/anthology/P19-1003.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-augment, pool-max, pool-mean, arch-rnn, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, search-greedy, search-beam, pre-glove, pre-bert, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 7 | AMR Parsing as Sequence-to-Graph Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/P19-1009.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, task-textpair, task-seq2seq, task-relation, task-tree | 0 | An Empirical Study of Span Representations in Argumentation Structure Parsing | Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui | https://www.aclweb.org/anthology/P19-1464.pdf |
| 2019 | ACL | # optim-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 | # optim-adam, norm-gradient, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-seq2seq | 1 | Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References | Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/P19-1372.pdf |
| 2019 | ACL | # reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-subword, nondif-minrisk, loss-margin, task-textpair, task-seq2seq | 4 | Beyond BLEU:Training Neural Machine Translation with Semantic Similarity | John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig | https://www.aclweb.org/anthology/P19-1427.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, reg-dropout, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-beam, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-seq2seq | 4 | Multi-Hop Paragraph Retrieval for Open-Domain Question Answering | Yair Feldman, Ran El-Yaniv | https://www.aclweb.org/anthology/P19-1222.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, struct-crf, adv-examp, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq | 5 | Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition | Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok | https://www.aclweb.org/anthology/P19-1336.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mll, train-augment, arch-att, arch-selfatt, arch-residual, arch-transformer, struct-hmm, adv-train, latent-vae, task-textclass, task-lm, task-seq2seq | 4 | Unsupervised Paraphrasing without Translation | Aurko Roy, David Grangier | https://www.aclweb.org/anthology/P19-1605.pdf |
| 2019 | ACL | # 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, pre-glove, task-seqlab, task-seq2seq | 1 | Collocation Classification with Unsupervised Relation Vectors | Luis Espinosa Anke, Steven Schockaert, Leo Wanner | https://www.aclweb.org/anthology/P19-1576.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-sgd, optim-adam, arch-memo, arch-transformer, pre-bert, task-textclass, task-textpair, task-seq2seq, task-tree, meta-init | 3 | Personalizing Dialogue Agents via Meta-Learning | Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Pascale Fung | https://www.aclweb.org/anthology/P19-1542.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-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-fasttext, pre-bert, task-seq2seq | 2 | Generating Diverse Translations with Sentence Codes | Raphael Shu, Hideki Nakayama, Kyunghyun Cho | https://www.aclweb.org/anthology/P19-1177.pdf |
| 2019 | ACL | # arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-copy, arch-bilinear, arch-coverage, search-beam, task-lm, task-condlm, task-seq2seq | 2 | PaperRobot: Incremental Draft Generation of Scientific Ideas | Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan | https://www.aclweb.org/anthology/P19-1191.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, task-spanlab, task-seq2seq | 1 | Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension | Yimeng Zhuang, Huadong Wang | https://www.aclweb.org/anthology/P19-1218.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, adv-examp, adv-train, task-textclass, task-seq2seq | 1 | Effective Adversarial Regularization for Neural Machine Translation | Motoki Sato, Jun Suzuki, Shun Kiyono | https://www.aclweb.org/anthology/P19-1020.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, task-textclass, task-seq2seq | 0 | Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis | Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo | https://www.aclweb.org/anthology/P19-1053.pdf |
| 2019 | ACL | # arch-att, arch-copy, arch-coverage, search-beam, nondif-minrisk, task-textpair, task-seq2seq, task-tree | 1 | Reranking for Neural Semantic Parsing | Pengcheng Yin, Graham Neubig | https://www.aclweb.org/anthology/P19-1447.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-copy, pre-glove, task-lm, task-seq2seq | 4 | EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing | Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/P19-1331.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-memo, arch-transformer, task-lm, task-seq2seq, task-alignment, meta-arch | 1 | Improving Neural Language Models by Segmenting, Attending, and Predicting the Future | Hongyin Luo, Lan Jiang, Yonatan Belinkov, James Glass | https://www.aclweb.org/anthology/P19-1144.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-labelsmooth, train-transfer, activ-relu, pool-max, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-bert, latent-topic, task-textpair, task-lm, task-seq2seq | 2 | Zero-shot Word Sense Disambiguation using Sense Definition Embeddings | Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar | https://www.aclweb.org/anthology/P19-1568.pdf |
| 2019 | ACL | # arch-coverage, pre-word2vec, latent-topic, task-seq2seq | 1 | Corpus-based Check-up for Thesaurus | Natalia Loukachevitch | https://www.aclweb.org/anthology/P19-1577.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze | 2 | Exploring Pre-trained Language Models for Event Extraction and Generation | Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li | https://www.aclweb.org/anthology/P19-1522.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-transformer, task-condlm, task-seq2seq | 0 | Expressing Visual Relationships via Language | Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal | https://www.aclweb.org/anthology/P19-1182.pdf |
| 2019 | ACL | # train-transfer, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq | 5 | Strategies for Structuring Story Generation | Angela Fan, Mike Lewis, Yann Dauphin | https://www.aclweb.org/anthology/P19-1254.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, task-condlm, task-seq2seq | 6 | Attention Guided Graph Convolutional Networks for Relation Extraction | Zhijiang Guo, Yan Zhang, Wei Lu | https://www.aclweb.org/anthology/P19-1024.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-rnn, comb-ensemble, pre-word2vec, pre-glove, task-seq2seq | 0 | Course Concept Expansion in MOOCs with External Knowledge and Interactive Game | Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang | https://www.aclweb.org/anthology/P19-1421.pdf |
| 2019 | ACL | # train-mll, arch-subword, pre-word2vec, pre-fasttext, adv-train, task-seq2seq, task-lexicon, task-alignment | 5 | Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces | Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig | https://www.aclweb.org/anthology/P19-1018.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-gradient, train-mtl, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-gating, task-seq2seq, task-relation, task-tree | 3 | Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language | Grzegorz Chrupała | https://www.aclweb.org/anthology/P19-1647.pdf |
| 2019 | ACL | # reg-dropout, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-alignment | 0 | Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach | Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun | https://www.aclweb.org/anthology/P19-1623.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, latent-vae, task-lm, task-seq2seq | 1 | Boosting Dialog Response Generation | Wenchao Du, Alan W Black | https://www.aclweb.org/anthology/P19-1005.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-seqlab, task-lm, task-seq2seq, task-relation, meta-arch | 76 | Energy and Policy Considerations for Deep Learning in NLP | Emma Strubell, Ananya Ganesh, Andrew McCallum | https://www.aclweb.org/anthology/P19-1355.pdf |
| 2019 | ACL | # optim-adam, 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-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-bilinear, pre-glove, pre-elmo, pre-bert, struct-crf, task-seq2seq, task-relation | 3 | A Unified Linear-Time Framework for Sentence-Level Discourse Parsing | Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, M Saiful Bari | https://www.aclweb.org/anthology/P19-1410.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, task-seq2seq, task-tree | 5 | Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing | Ben Bogin, Jonathan Berant, Matt Gardner | https://www.aclweb.org/anthology/P19-1448.pdf |
| 2019 | ACL | # optim-adagrad, init-glorot, norm-gradient, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-glove, task-textclass, task-seq2seq | 1 | Evaluating Discourse in Structured Text Representations | Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk | https://www.aclweb.org/anthology/P19-1062.pdf |
| 2019 | ACL | # optim-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-projection, train-mll, arch-lstm, arch-cnn, arch-coverage, arch-subword, pre-fasttext, task-seq2seq | 0 | SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings | Chengyu Wang, Xiaofeng He, Aoying Zhou | https://www.aclweb.org/anthology/P19-1169.pdf |
| 2019 | ACL | # train-mll, arch-lstm, arch-att, arch-coverage, struct-crf, adv-train, task-seq2seq, task-alignment | 0 | Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text | Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti | https://www.aclweb.org/anthology/P19-1343.pdf |
| 2019 | ACL | # optim-adam, train-mll, train-transfer, train-parallel, arch-gru, arch-subword, adv-train, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Better OOV Translation with Bilingual Terminology Mining | Matthias Huck, Viktor Hangya, Alexander Fraser | https://www.aclweb.org/anthology/P19-1581.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, task-spanlab, task-lm, task-seq2seq | 1 | Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling | Yifan Gao, Piji Li, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/P19-1480.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-gru, arch-att, arch-memo, search-beam, latent-vae, task-textclass, task-seq2seq | 1 | Fine-Grained Sentence Functions for Short-Text Conversation | Wei Bi, Jun Gao, Xiaojiang Liu, Shuming Shi | https://www.aclweb.org/anthology/P19-1389.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, reg-patience, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-textpair, task-lm, task-seq2seq | 7 | Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study | Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio | https://www.aclweb.org/anthology/P19-1004.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-transformer, pre-word2vec, pre-glove, pre-bert, adv-feat, task-seq2seq | 1 | Gender-preserving Debiasing for Pre-trained Word Embeddings | Masahiro Kaneko, Danushka Bollegala | https://www.aclweb.org/anthology/P19-1160.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, reg-dropout, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-paravec, task-seq2seq | 9 | Hierarchical Transformers for Multi-Document Summarization | Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/P19-1500.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq | 6 | When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion | Elena Voita, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/P19-1116.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, arch-lstm, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textclass, task-seq2seq | 0 | Unraveling Antonym’s Word Vectors through a Siamese-like Network | Mathias Etcheverry, Dina Wonsever | https://www.aclweb.org/anthology/P19-1319.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, struct-crf, task-seq2seq, task-relation, task-tree | 1 | How to Best Use Syntax in Semantic Role Labelling | Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang | https://www.aclweb.org/anthology/P19-1529.pdf |
| 2019 | ACL | # train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-glove, pre-bert, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | Self-Attention Architectures for Answer-Agnostic Neural Question Generation | Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano | https://www.aclweb.org/anthology/P19-1604.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq | 11 | Adaptive Attention Span in Transformers | Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin | https://www.aclweb.org/anthology/P19-1032.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-paravec, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-seq2seq, task-tree, task-lexicon, task-alignment | 3 | Multi-Source Cross-Lingual Model Transfer: Learning What to Share | Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie | https://www.aclweb.org/anthology/P19-1299.pdf |
| 2019 | ACL | # arch-gru, arch-att, arch-copy, task-seq2seq | 2 | Unsupervised Neural Text Simplification | Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/P19-1198.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-seq2seq | 0 | Modelling the interplay of metaphor and emotion through multitask learning | Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova | https://www.aclweb.org/anthology/D19-1227.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-textpair, task-condlm, task-seq2seq | 0 | YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension | Weiying Wang, Yongcheng Wang, Shizhe Chen, Qin Jin | https://www.aclweb.org/anthology/D19-1517.pdf |
| 2019 | EMNLP | # 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 | # optim-sgd, optim-projection, reg-dropout, reg-stopping, norm-layer, train-mll, train-transfer, train-parallel, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq | 1 | Simple, Scalable Adaptation for Neural Machine Translation | Ankur Bapna, Orhan Firat | https://www.aclweb.org/anthology/D19-1165.pdf |
| 2019 | EMNLP | # init-glorot, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-seq2seq | 0 | Parallel Iterative Edit Models for Local Sequence Transduction | Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla | https://www.aclweb.org/anthology/D19-1435.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-mll, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq | 1 | NCLS: Neural Cross-Lingual Summarization | Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong | https://www.aclweb.org/anthology/D19-1302.pdf |
| 2019 | EMNLP | # 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 | # optim-adam, reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce, task-textclass, task-seq2seq, task-tree | 0 | Automatically Learning Data Augmentation Policies for Dialogue Tasks | Tong Niu, Mohit Bansal | https://www.aclweb.org/anthology/D19-1132.pdf |
| 2019 | EMNLP | # train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq | 0 | “Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer | Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran | https://www.aclweb.org/anthology/D19-1322.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-att, arch-coverage, arch-transformer, task-seq2seq | 3 | Dynamic Past and Future for Neural Machine Translation | Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/D19-1086.pdf |
| 2019 | EMNLP | # train-mtl, train-transfer, arch-rnn, arch-att, arch-subword, arch-transformer, pre-skipthought, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | Improving Neural Story Generation by Targeted Common Sense Grounding | Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley, Garrison Cottrell | https://www.aclweb.org/anthology/D19-1615.pdf |
| 2019 | EMNLP | # arch-coverage, pre-fasttext, pre-bert, task-seq2seq | 0 | Tanbih: Get To Know What You Are Reading | Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass, Preslav Nakov | https://www.aclweb.org/anthology/D19-3038.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, pool-max, arch-gru, arch-gnn, arch-cnn, arch-att, arch-coverage, task-seq2seq | 0 | Learning to Update Knowledge Graphs by Reading News | Jizhi Tang, Yansong Feng, Dongyan Zhao | https://www.aclweb.org/anthology/D19-1265.pdf |
| 2019 | EMNLP | # 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-rnn, arch-gru, arch-att, arch-copy, search-greedy, task-textpair, task-seq2seq | 0 | Enhancing Neural Data-To-Text Generation Models with External Background Knowledge | Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin | https://www.aclweb.org/anthology/D19-1299.pdf |
| 2019 | EMNLP | # 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 | # pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-skipthought, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze | 0 | UER: An Open-Source Toolkit for Pre-training Models | Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du | https://www.aclweb.org/anthology/D19-3041.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment | 0 | Explicit Cross-lingual Pre-training for Unsupervised Machine Translation | Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma | https://www.aclweb.org/anthology/D19-1071.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, search-viterbi, nondif-reinforce, latent-vae, task-seq2seq | 0 | Low-Resource Response Generation with Template Prior | Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li | https://www.aclweb.org/anthology/D19-1197.pdf |
| 2019 | EMNLP | # reg-dropout, pool-max, arch-lstm, arch-att, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq | 0 | Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching | Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin | https://www.aclweb.org/anthology/D19-1626.pdf |
| 2019 | EMNLP | # 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 | # train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-subword, task-lm, task-seq2seq | 0 | Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja | Kang Min Yoo, Taeuk Kim, Sang-goo Lee | https://www.aclweb.org/anthology/D19-1358.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, reg-decay, reg-labelsmooth, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-lm, task-seq2seq, task-alignment | 0 | Jointly Learning to Align and Translate with Transformer Models | Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, Matthias Paulik | https://www.aclweb.org/anthology/D19-1453.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, task-seq2seq | 0 | Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training | Alham Fikri Aji, Kenneth Heafield, Nikolay Bogoychev | https://www.aclweb.org/anthology/D19-1373.pdf |
| 2019 | EMNLP | # optim-sgd, reg-decay, train-transfer, arch-lstm, arch-subword, search-beam, task-seq2seq, task-alignment | 0 | HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation | Brian Thompson, Rebecca Knowles, Xuan Zhang, Huda Khayrallah, Kevin Duh, Philipp Koehn | https://www.aclweb.org/anthology/D19-1142.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, search-beam, pre-bert, task-spanlab, task-lm, task-seq2seq | 0 | Restoring ancient text using deep learning: a case study on Greek epigraphy | Yannis Assael, Thea Sommerschield, Jonathan Prag | https://www.aclweb.org/anthology/D19-1668.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, struct-crf, task-lm, task-seq2seq | 0 | A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis | Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou | https://www.aclweb.org/anthology/D19-1559.pdf |
| 2019 | EMNLP | # arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Weakly Supervised Attention Networks for Entity Recognition | Barun Patra, Joel Ruben Antony Moniz | https://www.aclweb.org/anthology/D19-1652.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-coverage, pre-word2vec, struct-crf, task-seq2seq | 0 | A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis | Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao | https://www.aclweb.org/anthology/D19-1563.pdf |
| 2019 | EMNLP | # init-glorot, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 2 | Denoising based Sequence-to-Sequence Pre-training for Text Generation | Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu | https://www.aclweb.org/anthology/D19-1412.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, search-greedy, search-beam, pre-word2vec, pre-glove, loss-svd, task-seq2seq | 0 | Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning | Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang | https://www.aclweb.org/anthology/D19-1207.pdf |
| 2019 | EMNLP | # optim-adam, 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-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-bilinear, pre-word2vec, pre-elmo, task-seq2seq, task-relation | 0 | Hierarchical Pointer Net Parsing | Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han, Lidong Bing | https://www.aclweb.org/anthology/D19-1093.pdf |
| 2019 | EMNLP | # optim-adam, 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-adam, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq | 0 | Encoders Help You Disambiguate Word Senses in Neural Machine Translation | Gongbo Tang, Rico Sennrich, Joakim Nivre | https://www.aclweb.org/anthology/D19-1149.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, struct-crf, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Entity Projection via Machine Translation for Cross-Lingual NER | Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton | https://www.aclweb.org/anthology/D19-1100.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-gating, adv-train, task-lm, task-condlm, task-seq2seq | 0 | Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation | Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei | https://www.aclweb.org/anthology/D19-1409.pdf |
| 2019 | EMNLP | # optim-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, optim-projection, reg-patience, arch-rnn, arch-gru, arch-att, arch-copy, search-beam, task-seq2seq | 0 | Modeling Multi-Action Policy for Task-Oriented Dialogues | Lei Shu, Hu Xu, Bing Liu, Piero Molino | https://www.aclweb.org/anthology/D19-1130.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-recnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq | 2 | Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons | Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu | https://www.aclweb.org/anthology/D19-1135.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, train-augment, arch-subword, arch-transformer, task-seq2seq | 0 | Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization | Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu, Tiejun Zhao | https://www.aclweb.org/anthology/D19-1570.pdf |
| 2019 | EMNLP | # train-mll, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon | 1 | Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings | Haozhou Wang, James Henderson, Paola Merlo | https://www.aclweb.org/anthology/D19-1450.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 | # 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, arch-lstm, arch-att, comb-ensemble, pre-word2vec, task-seq2seq | 0 | Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis | Twin Karmakharm, Nikolaos Aletras, Kalina Bontcheva | https://www.aclweb.org/anthology/D19-3020.pdf |
| 2019 | EMNLP | # optim-sgd, optim-projection, reg-dropout, norm-layer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, adv-train, latent-vae, task-condlm, task-seq2seq | 0 | Semi-supervised Text Style Transfer: Cross Projection in Latent Space | Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan | https://www.aclweb.org/anthology/D19-1499.pdf |
| 2019 | EMNLP | # train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, struct-crf, adv-train, latent-vae, task-seqlab, task-seq2seq, task-lexicon | 1 | Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables | Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung | https://www.aclweb.org/anthology/D19-1129.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-layer, train-mll, pool-mean, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-spanlab, task-lm, task-seq2seq | 0 | Cross-Lingual Machine Reading Comprehension | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu | https://www.aclweb.org/anthology/D19-1169.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-mll, train-active, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, search-viterbi, pre-glove, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation | 0 | Hierarchically-Refined Label Attention Network for Sequence Labeling | Leyang Cui, Yue Zhang | https://www.aclweb.org/anthology/D19-1422.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mtl, arch-att, arch-memo, arch-bilinear, arch-transformer, search-beam, pre-bert, task-seq2seq, task-tree | 0 | Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base | Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang | https://www.aclweb.org/anthology/D19-1248.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-word2vec, pre-bert, task-seqlab, task-seq2seq, task-relation, task-tree | 0 | A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling | Qingrong Xia, Zhenghua Li, Min Zhang | https://www.aclweb.org/anthology/D19-1541.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-copy, task-seq2seq | 0 | Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever | Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu | https://www.aclweb.org/anthology/D19-1013.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, pre-elmo, pre-bert, task-textpair, task-lm, task-seq2seq, task-cloze, task-alignment | 4 | Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks | Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou | https://www.aclweb.org/anthology/D19-1252.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, norm-layer, arch-att, arch-selfatt, arch-residual, arch-subword, arch-transformer, task-seq2seq | 1 | Synchronously Generating Two Languages with Interactive Decoding | Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu, Chengqing Zong | https://www.aclweb.org/anthology/D19-1330.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # optim-adam, reg-dropout, reg-decay, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq | 0 | Subword Language Model for Query Auto-Completion | Gyuwan Kim | https://www.aclweb.org/anthology/D19-1507.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, norm-gradient, arch-gru, arch-bigru, arch-att, adv-train, latent-vae, task-seq2seq | 0 | Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation | Weichao Wang, Shi Feng, Daling Wang, Yifei Zhang | https://www.aclweb.org/anthology/D19-1511.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, task-textclass, task-seq2seq | 0 | Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification | Jiawei Wu, Wenhan Xiong, William Yang Wang | https://www.aclweb.org/anthology/D19-1444.pdf |
| 2019 | EMNLP | # train-mtl, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing | Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, Tomoya Iwakura | https://www.aclweb.org/anthology/D19-1648.pdf |
| 2019 | EMNLP | # reg-dropout, reg-worddropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, latent-vae, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features | Hongyin Tang, Miao Li, Beihong Jin | https://www.aclweb.org/anthology/D19-1513.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, activ-tanh, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-nce, task-seq2seq, task-relation | 0 | Minimally Supervised Learning of Affective Events Using Discourse Relations | Jun Saito, Yugo Murawaki, Sadao Kurohashi | https://www.aclweb.org/anthology/D19-1581.pdf |
| 2019 | EMNLP | # arch-lstm, arch-gru, arch-transformer, task-seqlab, task-condlm, task-seq2seq | 2 | Neural data-to-text generation: A comparison between pipeline and end-to-end architectures | Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer | https://www.aclweb.org/anthology/D19-1052.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, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-subword, struct-crf, task-seq2seq | 0 | Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity | Penghui Wei, Nan Xu, Wenji Mao | https://www.aclweb.org/anthology/D19-1485.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze, task-relation | 22 | Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT | Shijie Wu, Mark Dredze | https://www.aclweb.org/anthology/D19-1077.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, latent-vae, task-seq2seq, task-tree | 0 | Data-Anonymous Encoding for Text-to-SQL Generation | Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang | https://www.aclweb.org/anthology/D19-1543.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-att, arch-transformer, search-beam, pre-word2vec, task-lm, task-condlm, task-seq2seq | 2 | Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering | Soravit Changpinyo, Bo Pang, Piyush Sharma, Radu Soricut | https://www.aclweb.org/anthology/D19-1155.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, search-viterbi, pre-word2vec, pre-glove, pre-elmo, struct-crf, latent-vae, task-textpair, task-lm, task-seq2seq | 0 | A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing | Zeyu Dai, Ruihong Huang | https://www.aclweb.org/anthology/D19-1295.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-elmo, struct-crf, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semi-Supervised Semantic Role Labeling with Cross-View Training | Rui Cai, Mirella Lapata | https://www.aclweb.org/anthology/D19-1094.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq | 0 | Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss | Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao | https://www.aclweb.org/anthology/D19-1247.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-seq2seq | 0 | Referring Expression Generation Using Entity Profiles | Meng Cao, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/D19-1312.pdf |
| 2019 | EMNLP | # optim-adam, train-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, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, pre-bert, task-seq2seq | 0 | MoEL: Mixture of Empathetic Listeners | Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung | https://www.aclweb.org/anthology/D19-1012.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, comb-ensemble, search-beam, adv-train, task-seqlab, task-seq2seq, task-graph | 0 | Iterative Dual Domain Adaptation for Neural Machine Translation | Jiali Zeng, Yang Liu, Jinsong Su, Yubing Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo | https://www.aclweb.org/anthology/D19-1078.pdf |
| 2019 | EMNLP | # train-mll, arch-att, arch-coverage, task-seq2seq | 0 | Vecalign: Improved Sentence Alignment in Linear Time and Space | Brian Thompson, Philipp Koehn | https://www.aclweb.org/anthology/D19-1136.pdf |
| 2019 | EMNLP | # pre-glove, pre-skipthought, pre-elmo, task-seq2seq, task-tree | 0 | Split or Merge: Which is Better for Unsupervised RST Parsing? | Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata | https://www.aclweb.org/anthology/D19-1587.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-gru, arch-bigru, arch-att, arch-copy, arch-subword, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | Generating Personalized Recipes from Historical User Preferences | Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley | https://www.aclweb.org/anthology/D19-1613.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, adv-train, loss-triplet, task-condlm, task-seq2seq | 0 | Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach | Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon | https://www.aclweb.org/anthology/D19-1208.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textpair, task-spanlab, task-seq2seq, task-tree, task-graph | 0 | Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing | Jonathan Herzig, Jonathan Berant | https://www.aclweb.org/anthology/D19-1394.pdf |
| 2019 | EMNLP | # reg-dropout, reg-labelsmooth, train-mtl, train-mll, train-augment, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, search-greedy, search-beam, pre-glove, pre-bert, task-seq2seq, task-relation, task-tree, task-graph | 2 | Broad-Coverage Semantic Parsing as Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/D19-1392.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-seq2seq | 1 | Incorporating External Knowledge into Machine Reading for Generative Question Answering | Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li | https://www.aclweb.org/anthology/D19-1255.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations | Christian Hadiwinoto, Hwee Tou Ng, Wee Chung Gan | https://www.aclweb.org/anthology/D19-1533.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, latent-vae, task-seq2seq, task-tree, task-graph | 0 | Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs | Bailin Wang, Ivan Titov, Mirella Lapata | https://www.aclweb.org/anthology/D19-1391.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-active, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-lm, task-seq2seq, task-alignment | 0 | Learning to Copy for Automatic Post-Editing | Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun | https://www.aclweb.org/anthology/D19-1634.pdf |
| 2019 | EMNLP | # optim-projection, arch-gru, arch-att, task-condlm, task-seq2seq | 0 | REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning | Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao | https://www.aclweb.org/anthology/D19-1156.pdf |
| 2019 | EMNLP | # 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-adagrad, arch-rnn, arch-lstm, pre-word2vec, pre-glove, task-textpair, task-seq2seq, task-relation | 0 | Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling | Koki Washio, Satoshi Sekine, Tsuneaki Kato | https://www.aclweb.org/anthology/D19-1357.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-seq2seq, task-tree | 0 | Data Augmentation with Atomic Templates for Spoken Language Understanding | Zijian Zhao, Su Zhu, Kai Yu | https://www.aclweb.org/anthology/D19-1375.pdf |
| 2019 | EMNLP | # norm-batch, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-fasttext, pre-elmo, pre-bert, nondif-gumbelsoftmax, task-textclass, task-seq2seq, task-relation, task-lexicon | 0 | What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition | Ting-Yun Chang, Yun-Nung Chen | https://www.aclweb.org/anthology/D19-1627.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, train-active, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-condlm, task-seq2seq | 14 | Learning to Speak and Act in a Fantasy Text Adventure Game | Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston | https://www.aclweb.org/anthology/D19-1062.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq, task-relation, task-tree | 0 | Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension | Todor Mihaylov, Anette Frank | https://www.aclweb.org/anthology/D19-1257.pdf |
| 2019 | EMNLP | # train-mll, arch-att, search-greedy, pre-word2vec, pre-fasttext, pre-glove, task-textclass, task-lm, task-seq2seq | 2 | On Efficient Retrieval of Top Similarity Vectors | Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li | https://www.aclweb.org/anthology/D19-1527.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-glove, struct-crf, loss-cca, task-seqlab, task-condlm, task-seq2seq, task-relation | 0 | Partners in Crime: Multi-view Sequential Inference for Movie Understanding | Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen | https://www.aclweb.org/anthology/D19-1212.pdf |
| 2019 | EMNLP | # optim-adam, arch-gru, arch-att, search-beam, latent-vae, task-seq2seq | 1 | A Discrete CVAE for Response Generation on Short-Text Conversation | Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, Shuming Shi | https://www.aclweb.org/anthology/D19-1198.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 1 | Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel | Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov | https://www.aclweb.org/anthology/D19-1443.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-fasttext, pre-elmo, latent-vae, task-textclass, task-seq2seq, task-tree | 1 | Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks | Xinchi Chen, Chunchuan Lyu, Ivan Titov | https://www.aclweb.org/anthology/D19-1544.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-gru, arch-gating, arch-coverage, arch-transformer, pre-glove, adv-train, latent-vae, task-seq2seq, task-tree | 6 | An End-to-End Generative Architecture for Paraphrase Generation | Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin | https://www.aclweb.org/anthology/D19-1309.pdf |
| 2019 | EMNLP | # optim-adagrad, optim-projection, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-att, arch-memo, task-seq2seq | 4 | CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis | Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen | https://www.aclweb.org/anthology/D19-1467.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-lstm, arch-bilstm, pre-fasttext, task-seqlab, task-seq2seq | 1 | Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels | Lukas Lange, Michael A. Hedderich, Dietrich Klakow | https://www.aclweb.org/anthology/D19-1362.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, train-augment, arch-rnn, arch-cnn, arch-att, comb-ensemble, pre-word2vec, pre-skipthought, pre-bert, task-textclass, task-textpair, task-seq2seq | 0 | Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach | Zhenjie Zhao, Xiaojuan Ma | https://www.aclweb.org/anthology/D19-1408.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, arch-cnn, arch-att, arch-gating, arch-coverage, arch-transformer, pre-bert, loss-margin, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Aligning Cross-Lingual Entities with Multi-Aspect Information | Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun | https://www.aclweb.org/anthology/D19-1451.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-seq2seq, task-tree | 0 | Asking Clarification Questions in Knowledge-Based Question Answering | Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun | https://www.aclweb.org/anthology/D19-1172.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding | Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu | https://www.aclweb.org/anthology/D19-1097.pdf |
| 2019 | EMNLP | # optim-adam, arch-transformer, comb-ensemble, pre-bert, task-seq2seq | 0 | An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction | Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui | https://www.aclweb.org/anthology/D19-1119.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, pre-glove, pre-bert, task-textpair, task-spanlab, task-seq2seq | 1 | Better Rewards Yield Better Summaries: Learning to Summarise Without References | Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1307.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-condlm, task-seq2seq | 0 | What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues | Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang | https://www.aclweb.org/anthology/D19-1516.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, nondif-reinforce, task-seq2seq, meta-init | 0 | Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations | Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu | https://www.aclweb.org/anthology/D19-1334.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, optim-projection, norm-layer, train-mtl, train-mll, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, loss-svd, task-textpair, task-seq2seq | 0 | Parameter-free Sentence Embedding via Orthogonal Basis | Ziyi Yang, Chenguang Zhu, Weizhu Chen | https://www.aclweb.org/anthology/D19-1059.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-gru, latent-vae, latent-topic, task-seq2seq | 0 | Variational Hierarchical User-based Conversation Model | JinYeong Bak, Alice Oh | https://www.aclweb.org/anthology/D19-1202.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 | # arch-lstm, arch-bilstm, arch-att, pre-bert, struct-crf, task-seqlab, task-seq2seq | 0 | Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition | Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, Bin Dong, Shanshan Jiang | https://www.aclweb.org/anthology/D19-1646.pdf |
| 2019 | EMNLP | # optim-adam, optim-adagrad, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-bilinear, arch-coverage, search-beam, task-extractive, task-seq2seq | 0 | How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing | Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1388.pdf |
| 2019 | EMNLP | # 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, reg-decay, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, latent-topic, loss-svd, task-lm, task-seq2seq | 0 | Adaptive Parameterization for Neural Dialogue Generation | Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin | https://www.aclweb.org/anthology/D19-1188.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-seq2seq, task-tree, task-graph | 0 | Modeling Graph Structure in Transformer for Better AMR-to-Text Generation | Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou | https://www.aclweb.org/anthology/D19-1548.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-att, arch-coverage, arch-transformer, search-beam, task-seq2seq | 0 | INMT: Interactive Neural Machine Translation Prediction | Sebastin Santy, Sandipan Dandapat, Monojit Choudhury, Kalika Bali | https://www.aclweb.org/anthology/D19-3018.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq, task-tree | 0 | Towards Understanding Neural Machine Translation with Word Importance | Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael Lyu, Shuming Shi | https://www.aclweb.org/anthology/D19-1088.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mtl, train-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 | # optim-adagrad, arch-lstm, arch-bilstm, arch-att, arch-coverage, task-extractive, task-condlm, task-seq2seq | 0 | Attention Optimization for Abstractive Document Summarization | Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang | https://www.aclweb.org/anthology/D19-1117.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-glove, task-textclass, task-seq2seq | 0 | Robust Text Classifier on Test-Time Budgets | Md Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama | https://www.aclweb.org/anthology/D19-1108.pdf |
| 2019 | EMNLP | # optim-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-mll, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-bert, loss-cca, task-seq2seq | 0 | Dialog Intent Induction with Deep Multi-View Clustering | Hugh Perkins, Yi Yang | https://www.aclweb.org/anthology/D19-1413.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, task-seqlab, task-seq2seq, task-alignment | 0 | Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach | Wenqiang Lei, Weiwen Xu, Ai Ti Aw, Yuanxin Xiang, Tat Seng Chua | https://www.aclweb.org/anthology/D19-1087.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-glove, task-textclass, task-seq2seq | 0 | Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis | Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang | https://www.aclweb.org/anthology/D19-1343.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, arch-lstm, arch-att, task-condlm, task-seq2seq, task-tree | 0 | RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation | Tzuf Paz-Argaman, Reut Tsarfaty | https://www.aclweb.org/anthology/D19-1681.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, search-viterbi, pre-word2vec, pre-skipthought, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation | 0 | Learning to Infer Entities, Properties and their Relations from Clinical Conversations | Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran | https://www.aclweb.org/anthology/D19-1503.pdf |
| 2019 | EMNLP | # 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-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, task-seq2seq | 0 | Multi-agent Learning for Neural Machine Translation | Tianchi Bi, Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/D19-1079.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, arch-coverage, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-seq2seq, task-tree | 0 | Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks | Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon | https://www.aclweb.org/anthology/D19-1183.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 0 | Contrastive Attention Mechanism for Abstractive Sentence Summarization | Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang | https://www.aclweb.org/anthology/D19-1301.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, task-condlm, task-seq2seq | 0 | Compositional Generalization for Primitive Substitutions | Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness | https://www.aclweb.org/anthology/D19-1438.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, pre-elmo, pre-use, task-textclass, task-textpair, task-seq2seq | 0 | The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization | Simeng Sun, Ani Nenkova | https://www.aclweb.org/anthology/D19-1116.pdf |
| 2019 | EMNLP | # optim-adam, 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, arch-lstm, arch-bilstm, arch-att, arch-coverage, search-greedy, task-extractive, task-condlm, task-seq2seq | 1 | An Entity-Driven Framework for Abstractive Summarization | Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang | https://www.aclweb.org/anthology/D19-1323.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-word2vec, adv-train, loss-svd, task-seqlab, task-seq2seq, task-relation, task-alignment | 0 | Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping | Jian Ni, Radu Florian | https://www.aclweb.org/anthology/D19-1038.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, pool-max, arch-gcnn, arch-cnn, arch-att, pre-glove, task-textclass, task-condlm, task-seq2seq | 0 | Hierarchical Text Classification with Reinforced Label Assignment | Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren | https://www.aclweb.org/anthology/D19-1042.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-cca, task-lm, task-seq2seq, task-cloze | 1 | The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives | Elena Voita, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/D19-1448.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Learning with Limited Data for Multilingual Reading Comprehension | Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee | https://www.aclweb.org/anthology/D19-1283.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-subword, nondif-reinforce, latent-vae, task-extractive, task-condlm, task-seq2seq | 0 | Select and Attend: Towards Controllable Content Selection in Text Generation | Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine | https://www.aclweb.org/anthology/D19-1054.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, comb-ensemble, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation | Huiyun Yang, Shujian Huang, Xin-Yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/D19-1429.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq | 0 | Generating Classical Chinese Poems from Vernacular Chinese | Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Yu | https://www.aclweb.org/anthology/D19-1637.pdf |
| 2019 | EMNLP | # 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 | # 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 | # arch-rnn, arch-lstm, arch-att, adv-examp, adv-train, task-condlm, task-seq2seq | 8 | Attention is not not Explanation | Sarah Wiegreffe, Yuval Pinter | https://www.aclweb.org/anthology/D19-1002.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, task-seq2seq | 1 | Controlling Text Complexity in Neural Machine Translation | Sweta Agrawal, Marine Carpuat | https://www.aclweb.org/anthology/D19-1166.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-gru, arch-att, arch-bilinear, adv-examp, task-lm, task-condlm, task-seq2seq | 0 | TIGEr: Text-to-Image Grounding for Image Caption Evaluation | Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao | https://www.aclweb.org/anthology/D19-1220.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-transfer, arch-att, arch-coverage, arch-transformer, pre-skipthought, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, meta-init | 0 | Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks | Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos | https://www.aclweb.org/anthology/D19-1112.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, nondif-gumbelsoftmax, loss-svd, task-lm, task-seq2seq | 0 | MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model | Yukun Ma, Patrick H. Chen, Cho-Jui Hsieh | https://www.aclweb.org/anthology/D19-1529.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, search-beam, adv-train, task-seq2seq | 0 | Towards Controllable and Personalized Review Generation | Pan Li, Alexander Tuzhilin | https://www.aclweb.org/anthology/D19-1319.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-decay, train-mll, train-transfer, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq | 1 | The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English | Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc’Aurelio Ranzato | https://www.aclweb.org/anthology/D19-1632.pdf |
| 2019 | EMNLP | # reg-stopping, reg-patience, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, pre-word2vec, task-textclass, task-seq2seq, task-tree | 0 | CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases | Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, Dragomir Radev | https://www.aclweb.org/anthology/D19-1204.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-seqlab, task-lm, task-seq2seq, task-tree, task-alignment | 0 | Handling Syntactic Divergence in Low-resource Machine Translation | Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig | https://www.aclweb.org/anthology/D19-1143.pdf |
| 2019 | EMNLP | # optim-adam, optim-adadelta, optim-projection, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, search-greedy, search-beam, pre-elmo, pre-bert, nondif-reinforce, task-textpair, task-seqlab, task-spanlab, task-lm, task-condlm, task-seq2seq | 0 | Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering | Shiyue Zhang, Mohit Bansal | https://www.aclweb.org/anthology/D19-1253.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, pre-glove, pre-bert, nondif-reinforce, task-textclass, task-seq2seq, task-relation, task-tree | 0 | A Split-and-Recombine Approach for Follow-up Query Analysis | Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang | https://www.aclweb.org/anthology/D19-1535.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq, task-relation, task-graph | 0 | Self-Attention with Structural Position Representations | Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi | https://www.aclweb.org/anthology/D19-1145.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, struct-crf, task-lm, task-seq2seq | 0 | CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots | Arshit Gupta, Peng Zhang, Garima Lalwani, Mona Diab | https://www.aclweb.org/anthology/D19-1127.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att, pre-fasttext, pre-bert, task-spanlab, task-seq2seq | 0 | Finding Generalizable Evidence by Learning to Convince Q&A Models | Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho | https://www.aclweb.org/anthology/D19-1244.pdf |
| 2019 | EMNLP | # train-augment, arch-transformer, adv-examp, task-textpair, task-condlm, task-seq2seq | 0 | Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets | Hong-Ren Mao, Hung-Yi Lee | https://www.aclweb.org/anthology/D19-1611.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 | # reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-copy, task-seq2seq | 0 | Task-Oriented Conversation Generation Using Heterogeneous Memory Networks | Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Yin Zhang | https://www.aclweb.org/anthology/D19-1463.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-norm, train-mll, arch-att, arch-coverage, loss-margin, task-seq2seq | 0 | Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment | Xiaofei Shi, Yanghua Xiao | https://www.aclweb.org/anthology/D19-1075.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-seq2seq | 0 | Sequential Learning of Convolutional Features for Effective Text Classification | Avinash Madasu, Vijjini Anvesh Rao | https://www.aclweb.org/anthology/D19-1567.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | The Role of Pragmatic and Discourse Context in Determining Argument Impact | Esin Durmus, Faisal Ladhak, Claire Cardie | https://www.aclweb.org/anthology/D19-1568.pdf |
| 2019 | EMNLP | # reg-dropout, train-mll, arch-subword, task-seq2seq | 0 | The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval | Constantine Lignos, Daniel Cohen, Yen-Chieh Lien, Pratik Mehta, W. Bruce Croft, Scott Miller | https://www.aclweb.org/anthology/D19-1353.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 | # arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, task-seq2seq | 1 | On NMT Search Errors and Model Errors: Cat Got Your Tongue? | Felix Stahlberg, Bill Byrne | https://www.aclweb.org/anthology/D19-1331.pdf |
| 2019 | EMNLP | # reg-dropout, train-mll, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-lm, task-seq2seq | 0 | Investigating the Effectiveness of BPE: The Power of Shorter Sequences | Matthias Gallé | https://www.aclweb.org/anthology/D19-1141.pdf |
| 2019 | EMNLP | # train-mll, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-elmo, pre-bert, task-seq2seq | 2 | Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite | Prathyusha Jwalapuram, Shafiq Joty, Irina Temnikova, Preslav Nakov | https://www.aclweb.org/anthology/D19-1294.pdf |
| 2019 | EMNLP | # optim-adam, arch-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, 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 | # optim-sgd, optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq | 0 | Improving Question Generation With to the Point Context | Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/D19-1317.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, arch-rnn, arch-gru, arch-att, pre-glove, task-seq2seq | 0 | Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations | Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1199.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, train-mll, train-active, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, task-seq2seq, task-tree, task-graph, task-alignment | 0 | Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling | Angel Daza, Anette Frank | https://www.aclweb.org/anthology/D19-1056.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-gru, arch-att, arch-copy, pre-glove, task-seq2seq | 0 | GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue | Jun Quan, Deyi Xiong, Bonnie Webber, Changjian Hu | https://www.aclweb.org/anthology/D19-1462.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-subword, pre-glove, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Rethinking Attribute Representation and Injection for Sentiment Classification | Reinald Kim Amplayo | https://www.aclweb.org/anthology/D19-1562.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-stopping, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-bert, task-textclass, task-seq2seq | 0 | Enhancing Local Feature Extraction with Global Representation for Neural Text Classification | Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu, Sheng Gao | https://www.aclweb.org/anthology/D19-1047.pdf |
| 2019 | EMNLP | # 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, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq | 0 | Attribute-aware Sequence Network for Review Summarization | Junjie Li, Xuepeng Wang, Dawei Yin, Chengqing Zong | https://www.aclweb.org/anthology/D19-1297.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, adv-train, task-lm, task-condlm, task-seq2seq | 0 | ARAML: A Stable Adversarial Training Framework for Text Generation | Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu | https://www.aclweb.org/anthology/D19-1436.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, nondif-minrisk, nondif-reinforce, task-seq2seq | 0 | Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning | Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1035.pdf |
| 2019 | EMNLP | # optim-adam, 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, reg-dropout, reg-labelsmooth, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-seq2seq, task-tree | 0 | Improving Back-Translation with Uncertainty-based Confidence Estimation | Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun | https://www.aclweb.org/anthology/D19-1073.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, loss-cca, task-seq2seq | 0 | Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis | Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/D19-1566.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-glove, adv-train, latent-topic, task-textclass, task-seq2seq | 0 | Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis | Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li | https://www.aclweb.org/anthology/D19-1478.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, pre-bert, loss-cca, loss-svd, task-lm, task-seq2seq | 4 | Investigating Multilingual NMT Representations at Scale | Sneha Kudugunta, Ankur Bapna, Isaac Caswell, Orhan Firat | https://www.aclweb.org/anthology/D19-1167.pdf |
| 2019 | EMNLP | # reg-dropout, reg-decay, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, pre-bert, task-textclass, task-lm, task-seq2seq | 2 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuning | Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kadras, Sylvain Gugger, Jeremy Howard | https://www.aclweb.org/anthology/D19-1572.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-copy, search-beam, task-spanlab, task-seq2seq | 0 | Generating Highly Relevant Questions | Jiazuo Qiu, Deyi Xiong | https://www.aclweb.org/anthology/D19-1614.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-textclass, task-seq2seq | 0 | Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation | Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou | https://www.aclweb.org/anthology/D19-1164.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, task-textpair, task-seq2seq | 1 | Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework | Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Shuming Shi | https://www.aclweb.org/anthology/D19-1195.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, search-beam, latent-vae, task-extractive, task-lm, task-seq2seq | 1 | BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle | Peter West, Ari Holtzman, Jan Buys, Yejin Choi | https://www.aclweb.org/anthology/D19-1389.pdf |
| 2019 | EMNLP | # optim-adam, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Fine-tune BERT with Sparse Self-Attention Mechanism | Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang | https://www.aclweb.org/anthology/D19-1361.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, norm-gradient, pool-mean, arch-rnn, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-vae, task-seq2seq | 0 | Long and Diverse Text Generation with Planning-based Hierarchical Variational Model | Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu | https://www.aclweb.org/anthology/D19-1321.pdf |
| 2019 | EMNLP | # optim-sgd, 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, reg-norm, pool-max, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, task-textclass, task-seq2seq | 1 | Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification | Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu | https://www.aclweb.org/anthology/D19-1551.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, task-seqlab, task-seq2seq | 0 | Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration | Zhufeng Pan, Kun Bai, Yan Wang, Lianqiang Zhou, Xiaojiang Liu | https://www.aclweb.org/anthology/D19-1191.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, pool-max, arch-subword, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-seq2seq | 0 | Correlations between Word Vector Sets | Vitalii Zhelezniak, April Shen, Daniel Busbridge, Aleksandar Savkov, Nils Hammerla | https://www.aclweb.org/anthology/D19-1008.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 | # optim-projection, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq, task-relation | 0 | Recurrent Positional Embedding for Neural Machine Translation | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita | https://www.aclweb.org/anthology/D19-1139.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, reg-patience, reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-coverage, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seqlab, task-seq2seq | 0 | Deep Copycat Networks for Text-to-Text Generation | Julia Ive, Pranava Madhyastha, Lucia Specia | https://www.aclweb.org/anthology/D19-1318.pdf |
| 2019 | EMNLP | # 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-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, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 0 | Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations | Zuyi Bao, Rui Huang, Chen Li, Kenny Zhu | https://www.aclweb.org/anthology/D19-1095.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, pre-glove, task-condlm, task-seq2seq, task-relation | 0 | Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks | Chen Zhang, Qiuchi Li, Dawei Song | https://www.aclweb.org/anthology/D19-1464.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, pre-glove, pre-skipthought, pre-elmo, pre-use, adv-train, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation | Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus | https://www.aclweb.org/anthology/D19-1306.pdf |
| 2019 | EMNLP | # reg-dropout, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-copy, task-seq2seq | 0 | Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time) | Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu | https://www.aclweb.org/anthology/D19-1310.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-word2vec, task-textclass, task-seq2seq | 1 | Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification | Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma | https://www.aclweb.org/anthology/D19-1043.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-parallel, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-spanlab, task-seq2seq, task-alignment | 0 | BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels | Yimin Jing, Deyi Xiong, Zhen Yan | https://www.aclweb.org/anthology/D19-1249.pdf |
| 2019 | EMNLP | # reg-dropout, train-transfer, train-parallel, arch-att, arch-transformer, task-seq2seq | 1 | Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation | Raj Dabre, Atsushi Fujita, Chenhui Chu | https://www.aclweb.org/anthology/D19-1146.pdf |
| 2019 | EMNLP | # 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-adam, train-augment, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq | 2 | Multilingual Neural Machine Translation with Language Clustering | Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1089.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, comb-ensemble, adv-feat, adv-train, task-lm, task-seq2seq | 0 | Pushing the Limits of Low-Resource Morphological Inflection | Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/D19-1091.pdf |
| 2019 | EMNLP | # optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, nondif-reinforce, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq | 1 | Answers Unite! Unsupervised Metrics for Reinforced Summarization Models | Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano | https://www.aclweb.org/anthology/D19-1320.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, pre-glove, pre-bert, nondif-reinforce, task-lm, task-seq2seq | 0 | Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue | Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, Jason Weston | https://www.aclweb.org/anthology/D19-1203.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-coverage, loss-nce, task-seq2seq, task-tree | 1 | Global Reasoning over Database Structures for Text-to-SQL Parsing | Ben Bogin, Matt Gardner, Jonathan Berant | https://www.aclweb.org/anthology/D19-1378.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-transformer, pre-glove, pre-bert, task-seq2seq | 0 | A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis | Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang | https://www.aclweb.org/anthology/D19-1654.pdf |
| 2019 | EMNLP | # 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-rnn, arch-gru, arch-att, pre-glove, task-seq2seq | 0 | Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference | Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu | https://www.aclweb.org/anthology/D19-1240.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, pre-bert, task-seq2seq, task-relation, task-tree | 0 | Leveraging Dependency Forest for Neural Medical Relation Extraction | Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su | https://www.aclweb.org/anthology/D19-1020.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, task-seq2seq | 0 | An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation | Wanyu Du, Yangfeng Ji | https://www.aclweb.org/anthology/D19-1619.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-gradient, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-extractive, task-spanlab, task-condlm, task-seq2seq | 0 | Reading Like HER: Human Reading Inspired Extractive Summarization | Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He | https://www.aclweb.org/anthology/D19-1300.pdf |
| 2019 | EMNLP | # optim-adadelta, arch-rnn, arch-lstm, arch-att, arch-copy, task-textclass, task-seq2seq | 0 | SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence | Jun-U Park, Sang-Ki Ko, Marco Cognetta, Yo-Sub Han | https://www.aclweb.org/anthology/D19-1677.pdf |
| 2019 | EMNLP | # optim-adam, train-parallel, arch-lstm, arch-att, pre-glove, pre-bert, loss-nce, task-textclass, task-seqlab, task-seq2seq | 0 | (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas | Dongyeop Kang, Varun Gangal, Eduard Hovy | https://www.aclweb.org/anthology/D19-1179.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-rnn, arch-gru, arch-cnn, arch-att, arch-selfatt, search-beam, task-spanlab, task-lm, task-seq2seq | 1 | Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation | Ze Yang, Can Xu, Wei Wu, Zhoujun Li | https://www.aclweb.org/anthology/D19-1512.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, task-spanlab, task-seq2seq | 0 | DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs | Yi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee | https://www.aclweb.org/anthology/D19-1194.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-rnn, arch-cnn, arch-att, arch-transformer, task-condlm, task-seq2seq | 0 | Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations | Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, Pere-Pau Vázquez | https://www.aclweb.org/anthology/D19-3026.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-coverage, search-beam, task-extractive, task-condlm, task-seq2seq | 0 | Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes | Litton J Kurisinkel, Nancy Chen | https://www.aclweb.org/anthology/D19-1638.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, norm-gradient, pool-max, arch-rnn, arch-gru, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-lm, task-seq2seq | 0 | Hierarchy Response Learning for Neural Conversation Generation | Bo Zhang, Xiaoming Zhang | https://www.aclweb.org/anthology/D19-1186.pdf |
| 2019 | EMNLP | # arch-att, latent-vae, task-seq2seq | 0 | Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials | Wonsuk Yang, Seungwon Yoon, Ada Carpenter, Jong Park | https://www.aclweb.org/anthology/D19-1293.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, pre-bert, task-textclass, task-seq2seq | 0 | HMEAE: Hierarchical Modular Event Argument Extraction | Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren | https://www.aclweb.org/anthology/D19-1584.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, pre-glove, task-seqlab, task-seq2seq, task-relation, task-tree | 0 | A Pilot Study for Chinese SQL Semantic Parsing | Qingkai Min, Yuefeng Shi, Yue Zhang | https://www.aclweb.org/anthology/D19-1377.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, pool-max, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-seq2seq, task-relation, task-alignment | 0 | Cross-lingual Structure Transfer for Relation and Event Extraction | Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss | https://www.aclweb.org/anthology/D19-1030.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, task-condlm, task-seq2seq | 0 | Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning | Toru Nishino, Shotaro Misawa, Ryuji Kano, Tomoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma | https://www.aclweb.org/anthology/D19-1315.pdf |
| 2019 | EMNLP | # 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 | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 0 | Core Semantic First: A Top-down Approach for AMR Parsing | Deng Cai, Wai Lam | https://www.aclweb.org/anthology/D19-1393.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree | 1 | JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation | Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1546.pdf |
| 2019 | EMNLP | # 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, train-mll, arch-lstm, arch-gating, pre-glove, loss-margin, task-seq2seq | 0 | Jointly Learning Entity and Relation Representations for Entity Alignment | Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao | https://www.aclweb.org/anthology/D19-1023.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-att, arch-coverage, comb-ensemble, pre-bert, task-extractive, task-seq2seq | 0 | Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization | Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard Hovy | https://www.aclweb.org/anthology/D19-1327.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq, task-graph | 0 | Enhancing AMR-to-Text Generation with Dual Graph Representations | Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1314.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, nondif-reinforce, task-spanlab, task-condlm, task-seq2seq | 0 | Let’s Ask Again: Refine Network for Automatic Question Generation | Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran | https://www.aclweb.org/anthology/D19-1326.pdf |
| 2019 | EMNLP | # arch-lstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-bert, task-textclass, task-seq2seq | 0 | Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification | Vivian Lai, Zheng Cai, Chenhao Tan | https://www.aclweb.org/anthology/D19-1046.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, activ-tanh, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, task-lm, task-seq2seq, task-relation | 1 | Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks | Binxuan Huang, Kathleen Carley | https://www.aclweb.org/anthology/D19-1549.pdf |
| 2019 | EMNLP | # train-transfer, arch-lstm, arch-att, adv-feat, adv-train, latent-topic, task-textclass, task-seq2seq, task-lexicon, task-alignment | 0 | Topics to Avoid: Demoting Latent Confounds in Text Classification | Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov | https://www.aclweb.org/anthology/D19-1425.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-fasttext, pre-glove, pre-use, task-textclass, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Semantic Relatedness Based Re-ranker for Text Spotting | Ahmed Sabir, Francesc Moreno, Lluís Padró | https://www.aclweb.org/anthology/D19-1346.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, comb-ensemble, search-viterbi, pre-fasttext, pre-glove, struct-crf, task-seqlab, task-lm, task-seq2seq, task-lexicon | 0 | Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition | Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung | https://www.aclweb.org/anthology/D19-1360.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-gru, arch-att, adv-train, latent-vae, task-lm, task-seq2seq | 0 | Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training | Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin | https://www.aclweb.org/anthology/D19-1366.pdf |
| 2019 | EMNLP | # optim-adadelta, optim-projection, reg-dropout, arch-rnn, arch-gru, arch-att, pre-glove, struct-crf, task-textclass, task-seq2seq | 0 | Predicting Discourse Structure using Distant Supervision from Sentiment | Patrick Huber, Giuseppe Carenini | https://www.aclweb.org/anthology/D19-1235.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq | 0 | Encode, Tag, Realize: High-Precision Text Editing | Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn | https://www.aclweb.org/anthology/D19-1510.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-skipthought, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Transfer Fine-Tuning: A BERT Case Study | Yuki Arase, Jun’ichi Tsujii | https://www.aclweb.org/anthology/D19-1542.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, 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 | # optim-projection, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-copy, pre-bert, task-seq2seq | 0 | Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set | Katharina Kann, Kyunghyun Cho, Samuel R. Bowman | https://www.aclweb.org/anthology/D19-1329.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 0 | Towards Knowledge-Based Recommender Dialog System | Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang | https://www.aclweb.org/anthology/D19-1189.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-seq2seq, task-tree | 0 | Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation | Dongjun Lee | https://www.aclweb.org/anthology/D19-1624.pdf |
| 2019 | EMNLP | # init-glorot, train-transfer, pool-mean, arch-gru, arch-att, pre-bert, task-seq2seq | 0 | WSLLN:Weakly Supervised Natural Language Localization Networks | Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong | https://www.aclweb.org/anthology/D19-1157.pdf |
| 2019 | EMNLP | # optim-adagrad, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq, task-graph | 0 | Concept Pointer Network for Abstractive Summarization | Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou | https://www.aclweb.org/anthology/D19-1304.pdf |
| 2019 | EMNLP | # 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 | # optim-sgd, train-mll, arch-rnn, arch-subword, arch-transformer, search-beam, pre-bert, task-seq2seq | 0 | Machine Translation for Machines: the Sentiment Classification Use Case | Amirhossein Tebbifakhr, Luisa Bentivogli, Matteo Negri, Marco Turchi | https://www.aclweb.org/anthology/D19-1140.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 | # optim-sgd, optim-adam, train-mll, train-active, arch-lstm, arch-bilstm, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-condlm, task-seq2seq | 2 | MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance | Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger | https://www.aclweb.org/anthology/D19-1053.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-adam, pool-mean, arch-lstm, arch-cnn, arch-att, task-seq2seq, task-alignment | 0 | A Deep Neural Information Fusion Architecture for Textual Network Embeddings | Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang | https://www.aclweb.org/anthology/D19-1476.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Shallow Domain Adaptive Embeddings for Sentiment Analysis | Prathusha K Sarma, Yingyu Liang, William Sethares | https://www.aclweb.org/anthology/D19-1557.pdf |
| 2019 | EMNLP | # norm-gradient, arch-rnn, arch-lstm, arch-att, struct-crf, task-seqlab, task-seq2seq | 0 | Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model | Hyun-Je Song, Seong-Bae Park | https://www.aclweb.org/anthology/D19-1150.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq | 0 | ParaQG: A System for Generating Questions and Answers from Paragraphs | Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li | https://www.aclweb.org/anthology/D19-3030.pdf |
| 2019 | EMNLP | # train-mtl, train-transfer, arch-lstm, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq | 0 | Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings | Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/D19-1147.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-gru, nondif-reinforce, task-seq2seq | 3 | EGG: a toolkit for research on Emergence of lanGuage in Games | Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni | https://www.aclweb.org/anthology/D19-3010.pdf |
| 2019 | EMNLP | # arch-att, arch-transformer, task-seq2seq, task-relation, task-alignment | 1 | EASSE: Easier Automatic Sentence Simplification Evaluation | Fernando Alva-Manchego, Louis Martin, Carolina Scarton, Lucia Specia | https://www.aclweb.org/anthology/D19-3009.pdf |
| 2019 | EMNLP | # optim-adam, norm-gradient, arch-lstm, arch-att, adv-train, task-lm, task-seq2seq | 0 | Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora | Canasai Kruengkrai | https://www.aclweb.org/anthology/D19-1659.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze | 4 | Revealing the Dark Secrets of BERT | Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky | https://www.aclweb.org/anthology/D19-1445.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-bert, adv-examp, task-textpair, task-spanlab, task-lm, task-seq2seq, task-tree | 2 | CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text | Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton | https://www.aclweb.org/anthology/D19-1458.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-att, arch-bilinear, pre-glove, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq | 3 | Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning | Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi | https://www.aclweb.org/anthology/D19-1243.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-gru, arch-att, pre-word2vec, task-lm, task-condlm, task-seq2seq | 0 | Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents | Jack Hessel, Lillian Lee, David Mimno | https://www.aclweb.org/anthology/D19-1210.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 1 | Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation | Xin Tan, Longyin Zhang, Deyi Xiong, Guodong Zhou | https://www.aclweb.org/anthology/D19-1168.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-elmo, task-textpair, task-seq2seq | 0 | Query-focused Scenario Construction | Su Wang, Greg Durrett, Katrin Erk | https://www.aclweb.org/anthology/D19-1273.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-viterbi, struct-crf, latent-vae, task-seqlab, task-seq2seq | 1 | Learning Explicit and Implicit Structures for Targeted Sentiment Analysis | Hao Li, Wei Lu | https://www.aclweb.org/anthology/D19-1550.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, reg-patience, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq, task-relation | 6 | SciBERT: A Pretrained Language Model for Scientific Text | Iz Beltagy, Kyle Lo, Arman Cohan | https://www.aclweb.org/anthology/D19-1371.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, arch-transformer, task-lm, task-seq2seq | 0 | Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset | Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik | https://www.aclweb.org/anthology/D19-1459.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm, task-seq2seq | 2 | Certified Robustness to Adversarial Word Substitutions | Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang | https://www.aclweb.org/anthology/D19-1423.pdf |
| 2019 | EMNLP | # 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, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-elmo, task-seq2seq | 0 | Open Domain Web Keyphrase Extraction Beyond Language Modeling | Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk | https://www.aclweb.org/anthology/D19-1521.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-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-att, task-textpair, task-spanlab, task-seq2seq | 0 | On the Importance of Delexicalization for Fact Verification | Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu | https://www.aclweb.org/anthology/D19-1340.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-augment, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, pre-glove, pre-bert, task-seq2seq, task-tree | 0 | Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions | Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev | https://www.aclweb.org/anthology/D19-1537.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, search-beam, pre-elmo, pre-bert, task-lm, task-seq2seq | 0 | Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints | Masaaki Nishino, Sho Takase, Tsutomu Hirao, Masaaki Nagata | https://www.aclweb.org/anthology/D19-1674.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mtl, arch-lstm, arch-att, pre-glove, latent-vae, latent-topic, task-seq2seq | 0 | Coupling Global and Local Context for Unsupervised Aspect Extraction | Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong | https://www.aclweb.org/anthology/D19-1465.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator | Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow | https://www.aclweb.org/anthology/D19-1390.pdf |
| 2019 | EMNLP | # arch-att, pre-elmo, pre-bert, task-lm, task-seq2seq | 0 | Higher-order Comparisons of Sentence Encoder Representations | Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard | https://www.aclweb.org/anthology/D19-1593.pdf |
| 2019 | EMNLP | # arch-rnn, arch-gru, arch-bigru, arch-gnn, arch-att, task-seq2seq | 0 | CaRe: Open Knowledge Graph Embeddings | Swapnil Gupta, Sreyash Kenkre, Partha Talukdar | https://www.aclweb.org/anthology/D19-1036.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, latent-topic, task-extractive, task-seq2seq | 0 | Subtopic-driven Multi-Document Summarization | Xin Zheng, Aixin Sun, Jing Li, Karthik Muthuswamy | https://www.aclweb.org/anthology/D19-1311.pdf |
| 2019 | EMNLP | # optim-adagrad, init-glorot, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-textpair, task-seq2seq | 1 | Induction Networks for Few-Shot Text Classification | Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun | https://www.aclweb.org/anthology/D19-1403.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-bilstm, arch-att, task-lm, task-seq2seq | 3 | Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training | Hila Gonen, Yoav Goldberg | https://www.aclweb.org/anthology/D19-1427.pdf |
| 2019 | EMNLP | # reg-patience, arch-rnn, arch-gru, arch-att, latent-vae, task-textpair, task-seq2seq | 0 | Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites | Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, Ivan P. Yamshchikov | https://www.aclweb.org/anthology/D19-1406.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seq2seq | 0 | Multi-Task Stance Detection with Sentiment and Stance Lexicons | Yingjie Li, Cornelia Caragea | https://www.aclweb.org/anthology/D19-1657.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, train-transfer, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon | 8 | 75 Languages, 1 Model: Parsing Universal Dependencies Universally | Dan Kondratyuk, Milan Straka | https://www.aclweb.org/anthology/D19-1279.pdf |
| 2019 | EMNLP | # optim-sgd, train-transfer, arch-rnn, arch-gru, arch-att, pre-word2vec, latent-vae, task-seq2seq | 0 | Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders | Zhangming Chan, Juntao Li, Xiaopeng Yang, Xiuying Chen, Wenpeng Hu, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1201.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-att, arch-subword, arch-transformer, search-beam, task-seq2seq | 2 | Context-Aware Monolingual Repair for Neural Machine Translation | Elena Voita, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/D19-1081.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, task-seq2seq, task-tree | 2 | Learning Programmatic Idioms for Scalable Semantic Parsing | Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1545.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, pre-fasttext, struct-crf, task-textclass, task-seq2seq | 0 | A System for Diacritizing Four Varieties of Arabic | Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, Mohamed Eldesouki, Younes Samih, Hassan Sajjad | https://www.aclweb.org/anthology/D19-3037.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-adam, reg-dropout, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, task-seq2seq, task-relation | 0 | Toward a Task of Feedback Comment Generation for Writing Learning | Ryo Nagata | https://www.aclweb.org/anthology/D19-1316.pdf |
| 2019 | EMNLP | # optim-adam, task-textpair, task-seq2seq | 0 | Revisiting the Evaluation of Theory of Mind through Question Answering | Matthew Le, Y-Lan Boureau, Maximilian Nickel | https://www.aclweb.org/anthology/D19-1598.pdf |
| 2019 | EMNLP | # arch-att, pre-word2vec, adv-train, task-seq2seq, task-relation, task-tree | 0 | Generating Modern Poetry Automatically in Finnish | Mika Hämäläinen, Khalid Alnajjar | https://www.aclweb.org/anthology/D19-1617.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-residual, search-greedy, search-beam, latent-vae, task-textclass, task-condlm, task-seq2seq | 0 | Exploring Diverse Expressions for Paraphrase Generation | Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu | https://www.aclweb.org/anthology/D19-1313.pdf |
| 2019 | EMNLP | # optim-adam, 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, optim-adadelta, optim-projection, init-glorot, reg-dropout, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-residual, arch-bilinear, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-seq2seq, task-relation, task-tree | 0 | Syntax-Enhanced Self-Attention-Based Semantic Role Labeling | Yue Zhang, Rui Wang, Luo Si | https://www.aclweb.org/anthology/D19-1057.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-cnn, arch-att, arch-memo, arch-copy, task-extractive, task-seq2seq | 4 | Neural Text Summarization: A Critical Evaluation | Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher | https://www.aclweb.org/anthology/D19-1051.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq | 1 | Can You Unpack That? Learning to Rewrite Questions-in-Context | Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber | https://www.aclweb.org/anthology/D19-1605.pdf |
| 2019 | EMNLP | # optim-adam, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-spanlab, task-seq2seq, task-alignment | 1 | Hint-Based Training for Non-Autoregressive Machine Translation | Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1573.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Detecting and Reducing Bias in a High Stakes Domain | Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown | https://www.aclweb.org/anthology/D19-1483.pdf |
| 2019 | EMNLP | # 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-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-textpair, task-seq2seq | 0 | You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP | Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández | https://www.aclweb.org/anthology/D19-1477.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, comb-ensemble, search-beam, nondif-reinforce, task-lm, task-condlm, task-seq2seq | 2 | Countering Language Drift via Visual Grounding | Jason Lee, Kyunghyun Cho, Douwe Kiela | https://www.aclweb.org/anthology/D19-1447.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-spanlab, task-lm, task-seq2seq, task-cloze | 1 | Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs | Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes | https://www.aclweb.org/anthology/D19-1428.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-gating, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-seq2seq, meta-arch | 1 | NeuronBlocks: Building Your NLP DNN Models Like Playing Lego | Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang | https://www.aclweb.org/anthology/D19-3028.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-dropout, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, search-beam, pre-elmo, pre-bert, task-spanlab, task-seq2seq, task-relation, task-tree | 1 | A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li | https://www.aclweb.org/anthology/D19-1170.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, loss-svd, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Neural Cross-Lingual Event Detection with Minimal Parallel Resources | Jian Liu, Yubo Chen, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1068.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, pre-skipthought, task-seq2seq | 0 | A Modular Architecture for Unsupervised Sarcasm Generation | Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/D19-1636.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, struct-crf, adv-train, task-seqlab, task-seq2seq | 3 | Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning | Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang | https://www.aclweb.org/anthology/D19-1466.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, search-viterbi, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Leveraging Medical Literature for Section Prediction in Electronic Health Records | Sara Rosenthal, Ken Barker, Zhicheng Liang | https://www.aclweb.org/anthology/D19-1492.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-gru, arch-att, task-lm, task-seq2seq | 0 | How to Build User Simulators to Train RL-based Dialog Systems | Weiyan Shi, Kun Qian, Xuewei Wang, Zhou Yu | https://www.aclweb.org/anthology/D19-1206.pdf |
| 2019 | EMNLP | # optim-adam, 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, reg-dropout, arch-rnn, arch-att, arch-copy, arch-coverage, task-seq2seq, task-tree | 0 | NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions | Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim | https://www.aclweb.org/anthology/D19-1262.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, task-spanlab, task-seq2seq | 0 | Question-type Driven Question Generation | Wenjie Zhou, Minghua Zhang, Yunfang Wu | https://www.aclweb.org/anthology/D19-1622.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-bert, struct-crf, task-extractive, task-seq2seq, task-relation | 0 | Extractive Summarization of Long Documents by Combining Global and Local Context | Wen Xiao, Giuseppe Carenini | https://www.aclweb.org/anthology/D19-1298.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-gru, arch-att, pre-glove, latent-vae, task-textpair, task-seq2seq | 0 | Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder | Li Du, Xiao Ding, Ting Liu, Zhongyang Li | https://www.aclweb.org/anthology/D19-1270.pdf |
| 2019 | EMNLP | # train-transfer, train-augment, arch-att, arch-copy, arch-coverage, arch-transformer, task-seq2seq | 0 | Abstract Text Summarization: A Low Resource Challenge | Shantipriya Parida, Petr Motlicek | https://www.aclweb.org/anthology/D19-1616.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-lstm, arch-bilstm, arch-cnn, nondif-reinforce, adv-examp, task-textclass, task-seq2seq | 0 | Adversarial Reprogramming of Text Classification Neural Networks | Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar | https://www.aclweb.org/anthology/D19-1525.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 | # optim-projection, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, task-seq2seq, task-tree | 0 | Look-up and Adapt: A One-shot Semantic Parser | Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell | https://www.aclweb.org/anthology/D19-1104.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-subword, struct-crf, latent-topic, task-seqlab, task-seq2seq | 1 | A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers | Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime Carbonell | https://www.aclweb.org/anthology/D19-1520.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-decay, norm-layer, train-mll, train-parallel, arch-rnn, arch-att, arch-subword, arch-transformer, search-greedy, search-beam, pre-bert, task-lm, task-seq2seq, task-cloze | 2 | Mask-Predict: Parallel Decoding of Conditional Masked Language Models | Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1633.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, adv-train, task-lm, task-seq2seq | 0 | Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification | Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun | https://www.aclweb.org/anthology/D19-1553.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, task-seq2seq | 0 | Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space | Kawin Ethayarajh | https://www.aclweb.org/anthology/D19-1354.pdf |
| 2019 | EMNLP | # 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, pool-mean, arch-rnn, arch-lstm, pre-glove, task-seqlab, task-seq2seq | 0 | Extracting Possessions from Social Media: Images Complement Language | Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco | https://www.aclweb.org/anthology/D19-1061.pdf |
| 2019 | EMNLP | # reg-norm, arch-rnn, arch-gru, latent-vae, task-seq2seq | 1 | A Benchmark Dataset for Learning to Intervene in Online Hate Speech | Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding, William Yang Wang | https://www.aclweb.org/anthology/D19-1482.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 | # optim-projection, reg-dropout, reg-labelsmooth, arch-rnn, arch-gru, pre-elmo, task-seq2seq | 0 | Deep Ordinal Regression for Pledge Specificity Prediction | Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin | https://www.aclweb.org/anthology/D19-1182.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, task-seq2seq, task-graph | 2 | VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling | Andrea Di Fabio, Simone Conia, Roberto Navigli | https://www.aclweb.org/anthology/D19-1058.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, pre-word2vec, pre-fasttext, task-textclass, task-seq2seq | 0 | ProSeqo: Projection Sequence Networks for On-Device Text Classification | Zornitsa Kozareva, Sujith Ravi | https://www.aclweb.org/anthology/D19-1402.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, struct-cfg, task-lm, task-seq2seq, task-cloze, task-tree | 0 | Tree Transformer: Integrating Tree Structures into Self-Attention | Yaushian Wang, Hung-Yi Lee, Yun-Nung Chen | https://www.aclweb.org/anthology/D19-1098.pdf |
| 2019 | EMNLP | # optim-projection, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, task-textclass, task-extractive, task-lm, task-condlm, task-seq2seq | 0 | From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining | Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid, Chloé Clavel | https://www.aclweb.org/anthology/D19-1556.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, train-mtl, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-coverage, pre-word2vec, latent-topic, task-spanlab, task-seq2seq | 0 | A Neural Citation Count Prediction Model based on Peer Review Text | Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen | https://www.aclweb.org/anthology/D19-1497.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq | 0 | Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains | Wei Shi, Vera Demberg | https://www.aclweb.org/anthology/D19-1586.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, pre-bert, task-extractive, task-seq2seq | 1 | Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization | Siyao Li, Deren Lei, Pengda Qin, William Yang Wang | https://www.aclweb.org/anthology/D19-1623.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # train-mll, arch-lstm, arch-bilstm, arch-transformer, pre-fasttext, pre-bert, adv-examp, task-textpair, task-condlm, task-seq2seq | 1 | PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification | Yinfei Yang, Yuan Zhang, Chris Tar, Jason Baldridge | https://www.aclweb.org/anthology/D19-1382.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, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, task-seq2seq, task-relation, task-alignment | 0 | Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank | Meishan Zhang, Yue Zhang, Guohong Fu | https://www.aclweb.org/anthology/D19-1092.pdf |
| 2019 | EMNLP | # arch-gru, arch-att, arch-subword, arch-transformer, search-beam, task-seq2seq | 2 | Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation | Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang | https://www.aclweb.org/anthology/D19-1137.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-spanlab, task-seq2seq, task-tree | 0 | Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs | Zhibin Liu, Zheng-Yu Niu, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/D19-1187.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-cnn, pre-fasttext, pre-glove, pre-bert, adv-examp, adv-train, task-textclass, task-spanlab, task-seq2seq | 3 | Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack | Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston | https://www.aclweb.org/anthology/D19-1461.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, task-seqlab, task-seq2seq | 3 | Multi-Granularity Self-Attention for Neural Machine Translation | Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu | https://www.aclweb.org/anthology/D19-1082.pdf |
| 2019 | EMNLP | # optim-adam, 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 | NAA-CL | # arch-bilinear, arch-coverage, comb-ensemble, pre-word2vec, pre-glove, task-seqlab, task-seq2seq | 0 | What just happened? Evaluating retrofitted distributional word vectors | Dmetri Hayes | https://www.aclweb.org/anthology/N19-1111.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 | # arch-lstm, arch-cnn, arch-att, arch-subword, arch-transformer, task-seq2seq | 4 | Positional Encoding to Control Output Sequence Length | Sho Takase, Naoaki Okazaki | https://www.aclweb.org/anthology/N19-1401.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, arch-rnn, arch-att, arch-coverage, arch-subword, nondif-straightthrough, task-seq2seq | 1 | Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders | Cory Shain, Micha Elsner | https://www.aclweb.org/anthology/N19-1007.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, search-beam, pre-glove, nondif-reinforce, latent-vae, task-seq2seq, task-tree | 4 | UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering | Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku | https://www.aclweb.org/anthology/N19-1031.pdf |
| 2019 | NAA-CL | # 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 | # reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, task-textpair, task-seq2seq | 1 | Simple Attention-Based Representation Learning for Ranking Short Social Media Posts | Peng Shi, Jinfeng Rao, Jimmy Lin | https://www.aclweb.org/anthology/N19-1229.pdf |
| 2019 | NAA-CL | # reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, search-beam, task-lm, task-seq2seq, task-tree | 19 | Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout | Hao Tan, Licheng Yu, Mohit Bansal | https://www.aclweb.org/anthology/N19-1268.pdf |
| 2019 | NAA-CL | # optim-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-sgd, optim-adam, train-mll, arch-att, arch-subword, pre-word2vec, task-condlm, task-seq2seq, task-lexicon | 1 | Cross-lingual Visual Verb Sense Disambiguation | Spandana Gella, Desmond Elliott, Frank Keller | https://www.aclweb.org/anthology/N19-1200.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon, task-alignment | 12 | Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog | Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis | https://www.aclweb.org/anthology/N19-1380.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, train-parallel, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-tree | 0 | Understanding and Improving Hidden Representations for Neural Machine Translation | Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi | https://www.aclweb.org/anthology/N19-1046.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, struct-crf, task-textclass, task-seq2seq | 3 | HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition | Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/N19-1037.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-glove, task-textclass, task-textpair, task-condlm, task-seq2seq | 59 | Attention is not Explanation | Sarthak Jain, Byron C. Wallace | https://www.aclweb.org/anthology/N19-1357.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-decay, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, task-spanlab, task-seq2seq | 0 | Online Distilling from Checkpoints for Neural Machine Translation | Hao-Ran Wei, Shujian Huang, Ran Wang, Xin-yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/N19-1192.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-seq2seq, task-tree | 1 | PoMo: Generating Entity-Specific Post-Modifiers in Context | Jun Seok Kang, Robert Logan, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian | https://www.aclweb.org/anthology/N19-1089.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, arch-cnn, arch-coverage, nondif-gumbelsoftmax, latent-topic, task-textclass, task-seq2seq | 1 | Cross-Topic Distributional Semantic Representations Via Unsupervised Mappings | Eleftheria Briakou, Nikos Athanasiou, Alexandros Potamianos | https://www.aclweb.org/anthology/N19-1110.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues | Sungjoon Park, Donghyun Kim, Alice Oh | https://www.aclweb.org/anthology/N19-1148.pdf |
| 2019 | NAA-CL | # reg-dropout, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq | 3 | How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection | Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang | https://www.aclweb.org/anthology/N19-1352.pdf |
| 2019 | NAA-CL | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, latent-vae, task-seq2seq, task-relation | 1 | Detecting Cybersecurity Events from Noisy Short Text | Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli | https://www.aclweb.org/anthology/N19-1138.pdf |
| 2019 | NAA-CL | # optim-adam, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, search-beam, task-lm, task-seq2seq, task-alignment | 3 | Curriculum Learning for Domain Adaptation in Neural Machine Translation | Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh | https://www.aclweb.org/anthology/N19-1189.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, pre-glove, struct-crf, task-lm, task-seq2seq | 0 | Early Rumour Detection | Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau | https://www.aclweb.org/anthology/N19-1163.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-decay, norm-batch, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, task-lm, task-seq2seq | 23 | Pre-training on high-resource speech recognition improves low-resource speech-to-text translation | Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, Sharon Goldwater | https://www.aclweb.org/anthology/N19-1006.pdf |
| 2019 | NAA-CL | # optim-adam, arch-att, arch-coverage, search-beam, task-seq2seq | 0 | Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting | Yichao Lu, Manisha Srivastava, Jared Kramer, Heba Elfardy, Andrea Kahn, Song Wang, Vikas Bhardwaj | https://www.aclweb.org/anthology/N19-2007.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq | 17 | Star-Transformer | Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang | https://www.aclweb.org/anthology/N19-1133.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, train-mll, arch-att, arch-subword, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-use, latent-vae, task-textclass, task-textpair, task-seq2seq | 2 | Correlation Coefficients and Semantic Textual Similarity | Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Nils Hammerla | https://www.aclweb.org/anthology/N19-1100.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, search-beam, task-condlm, task-seq2seq, task-tree | 0 | Context Dependent Semantic Parsing over Temporally Structured Data | Charles Chen, Razvan Bunescu | https://www.aclweb.org/anthology/N19-1360.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq | 2 | Jointly Extracting and Compressing Documents with Summary State Representations | Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen | https://www.aclweb.org/anthology/N19-1397.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, nondif-reinforce, task-seq2seq, task-tree | 4 | Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases | Yu Chen, Lingfei Wu, Mohammed J. Zaki | https://www.aclweb.org/anthology/N19-1299.pdf |
| 2019 | NAA-CL | # optim-adam, 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 | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, arch-subword, search-beam, search-viterbi, struct-crf, latent-topic, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Incorporating Word Attention into Character-Based Word Segmentation | Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto, Isaac Okada | https://www.aclweb.org/anthology/N19-1276.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-att, comb-ensemble, adv-examp, task-textclass, task-seq2seq | 1 | Mitigating Uncertainty in Document Classification | Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan | https://www.aclweb.org/anthology/N19-1316.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-gru, arch-att, latent-vae, task-seq2seq, task-lexicon | 3 | Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms | Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, Eduard Hovy | https://www.aclweb.org/anthology/N19-1364.pdf |
| 2019 | NAA-CL | # init-glorot, reg-dropout, reg-worddropout, arch-cnn, arch-att, arch-coverage, pre-glove, latent-topic, task-textpair, task-seq2seq, task-relation, task-tree | 1 | No Permanent Friends or Enemies: Tracking Relationships between Nations from News | Xiaochuang Han, Eunsol Choi, Chenhao Tan | https://www.aclweb.org/anthology/N19-1167.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, train-transfer, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq | 7 | Non-Parametric Adaptation for Neural Machine Translation | Ankur Bapna, Orhan Firat | https://www.aclweb.org/anthology/N19-1191.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, norm-gradient, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-memo, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seq2seq, task-relation | 3 | Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations | Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang | https://www.aclweb.org/anthology/N19-1118.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-rnn, arch-lstm, arch-att, search-beam, adv-train, latent-vae, task-condlm, task-seq2seq | 5 | Answer-based Adversarial Training for Generating Clarification Questions | Sudha Rao, Hal Daumé III | https://www.aclweb.org/anthology/N19-1013.pdf |
| 2019 | NAA-CL | # norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm, task-condlm, task-seq2seq | 5 | Evaluating Text GANs as Language Models | Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant | https://www.aclweb.org/anthology/N19-1233.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-seq2seq, task-tree | 2 | Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems | Ting-Rui Chiang, Yun-Nung Chen | https://www.aclweb.org/anthology/N19-1272.pdf |
| 2019 | NAA-CL | # optim-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 | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, nondif-reinforce, latent-vae, task-seq2seq, task-tree | 17 | Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models | Tiancheng Zhao, Kaige Xie, Maxine Eskenazi | https://www.aclweb.org/anthology/N19-1123.pdf |
| 2019 | NAA-CL | # optim-adam, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-relation | 51 | Linguistic Knowledge and Transferability of Contextual Representations | Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith | https://www.aclweb.org/anthology/N19-1112.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, pre-bert, adv-examp, adv-train, task-textclass, task-condlm, task-seq2seq | 3 | Adversarial Training for Weakly Supervised Event Detection | Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li | https://www.aclweb.org/anthology/N19-1105.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, adv-examp, task-seq2seq | 5 | Neural Machine Translation of Text from Non-Native Speakers | Antonios Anastasopoulos, Alison Lui, Toan Q. Nguyen, David Chiang | https://www.aclweb.org/anthology/N19-1311.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, comb-ensemble, adv-train, task-seqlab, task-seq2seq | 1 | Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging | Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat | https://www.aclweb.org/anthology/N19-1416.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-word2vec, pre-glove, pre-elmo, latent-vae, task-lm, task-seq2seq | 4 | In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data | Nishant Prateek, Mateusz Łajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood | https://www.aclweb.org/anthology/N19-2026.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-energy, search-viterbi, pre-word2vec, pre-skipthought, struct-hmm, struct-crf, adv-train, task-textclass, task-seq2seq | 0 | Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation | Tasnim Mohiuddin, Thanh-Tung Nguyen, Shafiq Joty | https://www.aclweb.org/anthology/N19-1134.pdf |
| 2019 | NAA-CL | # optim-adam, norm-batch, train-mtl, train-transfer, struct-cfg, adv-train, latent-topic, task-seq2seq | 5 | Detecting cognitive impairments by agreeing on interpretations of linguistic features | Zining Zhu, Jekaterina Novikova, Frank Rudzicz | https://www.aclweb.org/anthology/N19-1146.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, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, latent-vae, loss-nce, task-seq2seq | 0 | Learning to Decipher Hate Symbols | Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang | https://www.aclweb.org/anthology/N19-1305.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, train-augment, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, task-seq2seq, task-tree | 1 | Iterative Search for Weakly Supervised Semantic Parsing | Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard Hovy | https://www.aclweb.org/anthology/N19-1273.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-glove, task-textpair, task-lm, task-seq2seq | 1 | Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation | Wei-Jen Ko, Greg Durrett, Junyi Jessy Li | https://www.aclweb.org/anthology/N19-1349.pdf |
| 2019 | NAA-CL | # 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, reg-dropout, reg-norm, arch-rnn, arch-gru, arch-att, search-beam, loss-nce, task-textclass, task-seq2seq | 3 | Adapting RNN Sequence Prediction Model to Multi-label Set Prediction | Kechen Qin, Cheng Li, Virgil Pavlu, Javed Aslam | https://www.aclweb.org/anthology/N19-1321.pdf |
| 2019 | NAA-CL | # optim-adam, optim-adagrad, optim-adadelta, optim-projection, reg-dropout, reg-norm, train-mll, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-gating, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 7 | Polyglot Contextual Representations Improve Crosslingual Transfer | Phoebe Mulcaire, Jungo Kasai, Noah A. Smith | https://www.aclweb.org/anthology/N19-1392.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, struct-crf, task-textpair, task-seq2seq, task-tree | 1 | Open Information Extraction from Question-Answer Pairs | Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy, H. V. Jagadish | https://www.aclweb.org/anthology/N19-1239.pdf |
| 2019 | NAA-CL | # optim-adam, 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, init-glorot, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, task-extractive, task-seq2seq, task-relation | 4 | Single Document Summarization as Tree Induction | Yang Liu, Ivan Titov, Mirella Lapata | https://www.aclweb.org/anthology/N19-1173.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-stopping, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation | 0 | AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning | Han Guo, Ramakanth Pasunuru, Mohit Bansal | https://www.aclweb.org/anthology/N19-1355.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-extractive, task-lm, task-seq2seq, task-relation | 6 | Guiding Extractive Summarization with Question-Answering Rewards | Kristjan Arumae, Fei Liu | https://www.aclweb.org/anthology/N19-1264.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, arch-transformer, pre-word2vec, pre-elmo, pre-bert, pre-use, task-textpair, task-seq2seq, task-tree | 4 | Evaluating Coherence in Dialogue Systems using Entailment | Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, Osmar Zaiane | https://www.aclweb.org/anthology/N19-1381.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq | 2 | Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition | Angli Liu, Jingfei Du, Veselin Stoyanov | https://www.aclweb.org/anthology/N19-1117.pdf |
| 2019 | NAA-CL | # optim-projection, reg-patience, train-mll, arch-lstm, arch-att, pre-fasttext, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon, task-alignment | 3 | Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs | Geert Heyman, Bregt Verreet, Ivan Vulić, Marie-Francine Moens | https://www.aclweb.org/anthology/N19-1188.pdf |
| 2019 | NAA-CL | # 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 | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-paravec, pre-skipthought, loss-svd, task-seq2seq | 0 | Automatic learner summary assessment for reading comprehension | Menglin Xia, Ekaterina Kochmar, Ted Briscoe | https://www.aclweb.org/anthology/N19-1261.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-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, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm, task-seq2seq | 0 | Conversation Initiation by Diverse News Contents Introduction | Satoshi Akasaki, Nobuhiro Kaji | https://www.aclweb.org/anthology/N19-1400.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, task-lm, task-seq2seq, task-tree, task-graph | 3 | Neural Text Generation from Rich Semantic Representations | Valerie Hajdik, Jan Buys, Michael Wayne Goodman, Emily M. Bender | https://www.aclweb.org/anthology/N19-1235.pdf |
| 2019 | NAA-CL | # optim-adagrad, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, arch-transformer, search-beam, task-condlm, task-seq2seq | 2 | Learning to Stop in Structured Prediction for Neural Machine Translation | Mingbo Ma, Renjie Zheng, Liang Huang | https://www.aclweb.org/anthology/N19-1187.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, search-viterbi, loss-svd, task-lm, task-seq2seq | 0 | Enabling Real-time Neural IME with Incremental Vocabulary Selection | Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama | https://www.aclweb.org/anthology/N19-2001.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-mll, arch-subword, pre-fasttext, latent-vae, loss-svd, task-seq2seq, task-relation, task-lexicon, task-alignment | 5 | Density Matching for Bilingual Word Embedding | Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig | https://www.aclweb.org/anthology/N19-1161.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 | # optim-adam, optim-adagrad, arch-lstm, arch-att, arch-coverage, search-beam, task-extractive, task-seq2seq, task-tree | 4 | Question Answering as an Automatic Evaluation Metric for News Article Summarization | Matan Eyal, Tal Baumel, Michael Elhadad | https://www.aclweb.org/anthology/N19-1395.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-att, adv-examp, task-lm, task-seq2seq, task-relation | 0 | Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples | Krtin Kumar, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/N19-1396.pdf |
| 2019 | NAA-CL | # train-mll, arch-att, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-seq2seq | 0 | Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition | Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko | https://www.aclweb.org/anthology/N19-1050.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, search-beam, latent-topic, task-seq2seq | 2 | Microblog Hashtag Generation via Encoding Conversation Contexts | Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi | https://www.aclweb.org/anthology/N19-1164.pdf |
| 2019 | NAA-CL | # optim-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-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 | # 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-projection, train-mll, latent-vae, loss-svd, task-seq2seq, task-lexicon | 2 | Aligning Vector-spaces with Noisy Supervised Lexicon | Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg | https://www.aclweb.org/anthology/N19-1045.pdf |
| 2019 | NAA-CL | # reg-stopping, reg-patience, train-augment, arch-gru, arch-att, arch-coverage, task-seq2seq | 1 | Training Data Augmentation for Context-Sensitive Neural Lemmatizer Using Inflection Tables and Raw Text | Toms Bergmanis, Sharon Goldwater | https://www.aclweb.org/anthology/N19-1418.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, comb-ensemble, pre-glove, pre-elmo, pre-bert, struct-crf, nondif-reinforce, task-seq2seq, task-relation | 7 | Better, Faster, Stronger Sequence Tagging Constituent Parsers | David Vilares, Mostafa Abdou, Anders Søgaard | https://www.aclweb.org/anthology/N19-1341.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, pre-glove, task-spanlab, task-lm, task-seq2seq | 0 | The Lower The Simpler: Simplifying Hierarchical Recurrent Models | Chao Wang, Hui Jiang | https://www.aclweb.org/anthology/N19-1402.pdf |
| 2019 | NAA-CL | # optim-adagrad, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq | 3 | Scaling Multi-Domain Dialogue State Tracking via Query Reformulation | Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Mathias Lambert | https://www.aclweb.org/anthology/N19-2013.pdf |
| 2019 | NAA-CL | # train-mll, arch-rnn, arch-lstm, arch-att, arch-transformer, struct-hmm, task-lm, task-seq2seq | 0 | Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language | Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan, Mohammad Zuberul Islam | https://www.aclweb.org/anthology/N19-1322.pdf |
| 2019 | NAA-CL | # optim-sgd, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, search-viterbi, pre-glove, latent-vae, task-lm, task-seq2seq, task-relation | 1 | Benchmarking Hierarchical Script Knowledge | Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi | https://www.aclweb.org/anthology/N19-1412.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, reg-patience, arch-rnn, arch-gru, arch-att, task-textclass, task-seq2seq, task-tree | 4 | Inferring Which Medical Treatments Work from Reports of Clinical Trials | Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace | https://www.aclweb.org/anthology/N19-1371.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, norm-layer, train-augment, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-word2vec, task-seq2seq, task-tree, task-graph | 2 | Factorising AMR generation through syntax | Kris Cao, Stephen Clark | https://www.aclweb.org/anthology/N19-1223.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq | 0 | Disentangling Language and Knowledge in Task-Oriented Dialogs | Dinesh Raghu, Nikhil Gupta, Mausam | https://www.aclweb.org/anthology/N19-1126.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, pool-max, arch-rnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-bert, task-seq2seq | 11 | Information Aggregation for Multi-Head Attention with Routing-by-Agreement | Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu | https://www.aclweb.org/anthology/N19-1359.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, arch-lstm, arch-att, arch-memo, adv-train, task-textclass, task-seqlab, task-spanlab, task-seq2seq | 0 | Document-Level Event Factuality Identification via Adversarial Neural Network | Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou | https://www.aclweb.org/anthology/N19-1287.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, search-beam, task-seq2seq, task-relation | 4 | Left-to-Right Dependency Parsing with Pointer Networks | Daniel Fernández-González, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/N19-1076.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq | 4 | Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension | Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao | https://www.aclweb.org/anthology/N19-1271.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, struct-crf, adv-examp, task-textpair, task-lm, task-condlm, task-seq2seq, task-alignment | 9 | PAWS: Paraphrase Adversaries from Word Scrambling | Yuan Zhang, Jason Baldridge, Luheng He | https://www.aclweb.org/anthology/N19-1131.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-seq2seq | 3 | Incorporating Context and External Knowledge for Pronoun Coreference Resolution | Hongming Zhang, Yan Song, Yangqiu Song | https://www.aclweb.org/anthology/N19-1093.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-coverage, arch-energy, struct-crf, task-seq2seq | 1 | Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation | Nikolai Vogler, Craig Stewart, Graham Neubig | https://www.aclweb.org/anthology/N19-1010.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq | 2 | One Size Does Not Fit All: Comparing NMT Representations of Different Granularities | Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov | https://www.aclweb.org/anthology/N19-1154.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq, task-relation, task-lexicon | 12 | Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing | Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson | https://www.aclweb.org/anthology/N19-1162.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-mll, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, pre-word2vec, task-seq2seq, task-relation, task-alignment | 2 | Low-Resource Syntactic Transfer with Unsupervised Source Reordering | Mohammad Sadegh Rasooli, Michael Collins | https://www.aclweb.org/anthology/N19-1385.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-elmo, task-spanlab, task-seq2seq | 7 | BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering | Yu Cao, Meng Fang, Dacheng Tao | https://www.aclweb.org/anthology/N19-1032.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, norm-gradient, train-mll, train-augment, arch-rnn, arch-lstm, arch-att, arch-energy, task-condlm, task-seq2seq, task-relation | 7 | A Simple Joint Model for Improved Contextual Neural Lemmatization | Chaitanya Malaviya, Shijie Wu, Ryan Cotterell | https://www.aclweb.org/anthology/N19-1155.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-decay, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-tree | 20 | Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data | Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu | https://www.aclweb.org/anthology/N19-1014.pdf |
| 2019 | NAA-CL | # train-mll, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-word2vec, pre-glove, pre-paravec, pre-skipthought, pre-elmo, task-seq2seq | 0 | Learning Outside the Box: Discourse-level Features Improve Metaphor Identification | Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova | https://www.aclweb.org/anthology/N19-1059.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-glove, struct-crf, latent-vae, task-textclass, task-lm, task-seq2seq | 2 | Strong and Simple Baselines for Multimodal Utterance Embeddings | Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency | https://www.aclweb.org/anthology/N19-1267.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, task-seq2seq | 9 | Selective Attention for Context-aware Neural Machine Translation | Sameen Maruf, André F. T. Martins, Gholamreza Haffari | https://www.aclweb.org/anthology/N19-1313.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, task-lm, task-condlm, task-seq2seq | 10 | Probing the Need for Visual Context in Multimodal Machine Translation | Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault | https://www.aclweb.org/anthology/N19-1422.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-fasttext, latent-vae, task-extractive, task-seq2seq | 9 | Abstractive Summarization of Reddit Posts with Multi-level Memory Networks | Byeongchang Kim, Hyunwoo Kim, Gunhee Kim | https://www.aclweb.org/anthology/N19-1260.pdf |
| 2019 | NAA-CL | # reg-dropout, norm-gradient, train-transfer, train-parallel, arch-att, arch-subword, arch-transformer, task-seq2seq, task-alignment | 0 | Measuring Immediate Adaptation Performance for Neural Machine Translation | Patrick Simianer, Joern Wuebker, John DeNero | https://www.aclweb.org/anthology/N19-1206.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, pre-glove, pre-bert, task-spanlab, task-seq2seq | 3 | Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring | Zhengyuan Liu, Hazel Lim, Nur Farah Ain Suhaimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee, Michael R. Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen | https://www.aclweb.org/anthology/N19-2004.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-coverage, adv-examp, task-textclass, task-textpair, task-spanlab, task-seq2seq | 10 | Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets | Nelson F. Liu, Roy Schwartz, Noah A. Smith | https://www.aclweb.org/anthology/N19-1225.pdf |
| 2019 | NAA-CL | # reg-dropout, norm-gradient, train-mtl, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, comb-ensemble, task-seq2seq, task-relation | 0 | Multi-Task Learning for Japanese Predicate Argument Structure Analysis | Hikaru Omori, Mamoru Komachi | https://www.aclweb.org/anthology/N19-1344.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-nce, task-seqlab, task-seq2seq | 24 | Massively Multilingual Neural Machine Translation | Roee Aharoni, Melvin Johnson, Orhan Firat | https://www.aclweb.org/anthology/N19-1388.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, activ-tanh, arch-rnn, arch-lstm, arch-att, arch-memo, pre-glove, task-seq2seq | 3 | Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding | Jonggu Kim, Jong-Hyeok Lee | https://www.aclweb.org/anthology/N19-1372.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-att, latent-topic, loss-nce, task-extractive, task-seq2seq | 0 | News Article Teaser Tweets and How to Generate Them | Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger, Hinrich Schütze | https://www.aclweb.org/anthology/N19-1398.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-att, arch-energy, search-beam, struct-crf, struct-cfg, loss-nce, task-condlm, task-seq2seq, task-relation | 0 | An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search | Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/N19-1171.pdf |
| 2019 | NAA-CL | # 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-adam, norm-batch, arch-lstm, arch-att, arch-bilinear, adv-feat, adv-train, task-condlm, task-seq2seq | 0 | The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding | Yiqun Yao, Jiaming Xu, Bo Xu | https://www.aclweb.org/anthology/N19-1266.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-recnn, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-fasttext, adv-train, task-seq2seq | 3 | Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages | Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/N19-1387.pdf |
| 2019 | NAA-CL | # optim-adam, reg-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 |