| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 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, optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-fasttext, pre-bert, struct-crf, task-relation | 0 | Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections | Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig | https://www.aclweb.org/anthology/P19-1311.pdf |
| 2019 | ACL | # optim-projection, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-coverage, pre-glove, struct-hmm, struct-crf, task-textclass, task-seqlab | 0 | A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy | Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor | https://www.aclweb.org/anthology/P19-1014.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-transfer, train-augment, pre-word2vec, pre-glove, pre-elmo, task-textclass, task-condlm | 7 | Mitigating Gender Bias in Natural Language Processing: Literature Review | Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang | https://www.aclweb.org/anthology/P19-1159.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-adam, optim-projection, arch-rnn, arch-cnn, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, task-lm, task-relation | 0 | Global Textual Relation Embedding for Relational Understanding | Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su | https://www.aclweb.org/anthology/P19-1127.pdf |
| 2019 | ACL | # optim-adam, optim-projection, norm-gradient, train-mll, train-transfer, activ-relu, pool-max, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-skipthought, latent-vae, task-textpair, task-lm, task-seq2seq, task-cloze | 0 | Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning | Shuai Tang, Virginia R. de Sa | https://www.aclweb.org/anthology/P19-1397.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-att, arch-residual, arch-coverage, latent-vae, loss-nce, task-lm, task-seq2seq, task-lexicon | 1 | Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B | Jiaming Luo, Yuan Cao, Regina Barzilay | https://www.aclweb.org/anthology/P19-1303.pdf |
| 2019 | ACL | # optim-projection, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, comb-ensemble, pre-fasttext, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 3 | Massively Multilingual Transfer for NER | Afshin Rahimi, Yuan Li, Trevor Cohn | https://www.aclweb.org/anthology/P19-1015.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-parallel, arch-rnn, arch-gru, arch-memo, pre-glove, pre-bert, latent-vae, task-lm | 3 | The Referential Reader: A Recurrent Entity Network for Anaphora Resolution | Fei Liu, Luke Zettlemoyer, Jacob Eisenstein | https://www.aclweb.org/anthology/P19-1593.pdf |
| 2019 | ACL | # 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 | # 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 | # 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-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, optim-projection, reg-dropout, train-mll, arch-coverage, arch-subword, pre-glove, loss-svd, loss-margin, task-textpair | 1 | Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment | Goran Glavaš, Ivan Vulić | https://www.aclweb.org/anthology/P19-1476.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, train-transfer, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-lm, task-seq2seq, task-relation, task-lexicon | 1 | Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation | Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1119.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-selfatt, arch-coverage, latent-vae, task-textpair, task-lm, task-condlm, task-relation, task-tree | 1 | Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming | Caio Corro, Ivan Titov | https://www.aclweb.org/anthology/P19-1551.pdf |
| 2019 | ACL | # optim-projection, arch-coverage, pre-word2vec, pre-glove, pre-bert, latent-vae, latent-topic, loss-cca, loss-svd, task-textclass | 0 | Word2Sense: Sparse Interpretable Word Embeddings | Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya | https://www.aclweb.org/anthology/P19-1570.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 | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-subword, arch-transformer, pre-fasttext, pre-skipthought, pre-bert, struct-cfg, task-textpair, task-lm, task-tree | 5 | Correlating Neural and Symbolic Representations of Language | Grzegorz Chrupała, Afra Alishahi | https://www.aclweb.org/anthology/P19-1283.pdf |
| 2019 | ACL | # optim-projection, train-transfer, task-lm, task-tree | 0 | Zero-Shot Semantic Parsing for Instructions | Ofer Givoli, Roi Reichart | https://www.aclweb.org/anthology/P19-1438.pdf |
| 2019 | ACL | # optim-projection, reg-dropout, train-mll, arch-rnn, arch-att, comb-ensemble, struct-hmm, task-seq2seq, task-relation, task-tree | 0 | Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages | Garrett Nicolai, David Yarowsky | https://www.aclweb.org/anthology/P19-1172.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass, task-lm | 9 | Multilingual Constituency Parsing with Self-Attention and Pre-Training | Nikita Kitaev, Steven Cao, Dan Klein | https://www.aclweb.org/anthology/P19-1340.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, struct-crf, task-textclass | 0 | Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes | Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins, Vivek Srikumar | https://www.aclweb.org/anthology/P19-1563.pdf |
| 2019 | ACL | # optim-projection, arch-lstm, arch-att, arch-selfatt, struct-crf, task-seqlab, task-relation | 3 | Crowdsourcing and Aggregating Nested Markable Annotations | Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio | https://www.aclweb.org/anthology/P19-1077.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, comb-ensemble, search-beam, search-viterbi, pre-word2vec, pre-elmo, pre-bert, task-lm | 0 | Cross-Domain Generalization of Neural Constituency Parsers | Daniel Fried, Nikita Kitaev, Dan Klein | https://www.aclweb.org/anthology/P19-1031.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-patience, train-mll, arch-rnn, arch-lstm | 1 | Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learning | Nicole Mirea, Klinton Bicknell | https://www.aclweb.org/anthology/P19-1155.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-bilinear, pre-glove, task-spanlab | 0 | Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension | Daesik Kim, Seonhoon Kim, Nojun Kwak | https://www.aclweb.org/anthology/P19-1347.pdf |
| 2019 | ACL | # optim-adam, 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-adam, optim-adadelta, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, task-spanlab, task-condlm | 3 | Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives | Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang | https://www.aclweb.org/anthology/P19-1486.pdf |
| 2019 | ACL | # 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 | # optim-sgd, optim-adam, optim-projection, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-fasttext, nondif-reinforce, task-textclass, task-lm, task-condlm, task-relation | 2 | Visually Grounded Neural Syntax Acquisition | Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu | https://www.aclweb.org/anthology/P19-1180.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-elmo, latent-topic, task-textclass | 9 | The Risk of Racial Bias in Hate Speech Detection | Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith | https://www.aclweb.org/anthology/P19-1163.pdf |
| 2019 | ACL | # 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-projection, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 8 | STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework | Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/P19-1289.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-att, task-textclass, task-seqlab | 0 | You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification | Angelo Basile, Albert Gatt, Malvina Nissim | https://www.aclweb.org/anthology/P19-1246.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq | 2 | Improving Abstractive Document Summarization with Salient Information Modeling | Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang | https://www.aclweb.org/anthology/P19-1205.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-subword, pre-fasttext, pre-glove, task-lexicon | 4 | Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization | Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan Boyd-Graber | https://www.aclweb.org/anthology/P19-1307.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, task-textclass, task-seqlab, task-lm | 0 | On-device Structured and Context Partitioned Projection Networks | Sujith Ravi, Zornitsa Kozareva | https://www.aclweb.org/anthology/P19-1368.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, task-lm, task-condlm | 3 | CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication | Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh | https://www.aclweb.org/anthology/P19-1651.pdf |
| 2019 | ACL | # optim-adam, optim-projection, pre-glove, latent-vae | 3 | Understanding Undesirable Word Embedding Associations | Kawin Ethayarajh, David Duvenaud, Graeme Hirst | https://www.aclweb.org/anthology/P19-1166.pdf |
| 2019 | ACL | # optim-sgd, optim-projection, train-transfer, arch-coverage, pre-glove, loss-svd, task-textpair | 6 | Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings | Matthew Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel | https://www.aclweb.org/anthology/P19-1313.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 | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm | 20 | What Does BERT Learn about the Structure of Language? | Ganesh Jawahar, Benoît Sagot, Djamé Seddah | https://www.aclweb.org/anthology/P19-1356.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, arch-lstm, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq | 5 | Lattice Transformer for Speech Translation | Pei Zhang, Niyu Ge, Boxing Chen, Kai Fan | https://www.aclweb.org/anthology/P19-1649.pdf |
| 2019 | ACL | # optim-sgd, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, search-beam, adv-examp, task-lm, task-condlm, task-seq2seq | 1 | TIGS: An Inference Algorithm for Text Infilling with Gradient Search | Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv | https://www.aclweb.org/anthology/P19-1406.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-subword, pre-fasttext, latent-vae, loss-svd, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Multilingual Factor Analysis | Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos Korfiatis, Nils Hammerla | https://www.aclweb.org/anthology/P19-1170.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-condlm | 1 | Learning to Discover, Ground and Use Words with Segmental Neural Language Models | Kazuya Kawakami, Chris Dyer, Phil Blunsom | https://www.aclweb.org/anthology/P19-1645.pdf |
| 2019 | ACL | # optim-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-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 | # optim-projection, arch-lstm, arch-att, arch-coverage, pre-glove, task-tree | 0 | SParC: Cross-Domain Semantic Parsing in Context | Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev | https://www.aclweb.org/anthology/P19-1443.pdf |
| 2019 | ACL | # 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 | # 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-projection, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, search-viterbi, pre-fasttext, pre-bert, struct-crf | 1 | Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates | Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss, Jonas Kuhn | https://www.aclweb.org/anthology/P19-1273.pdf |
| 2019 | ACL | # optim-projection, arch-subword, pre-fasttext, loss-svd | 0 | The Effectiveness of Simple Hybrid Systems for Hypernym Discovery | William Held, Nizar Habash | https://www.aclweb.org/anthology/P19-1327.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-att, arch-memo, arch-bilinear | 1 | A2N: Attending to Neighbors for Knowledge Graph Inference | Trapit Bansal, Da-Cheng Juan, Sujith Ravi, Andrew McCallum | https://www.aclweb.org/anthology/P19-1431.pdf |
| 2019 | ACL | # optim-adam, 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 | # optim-sgd, optim-projection, reg-dropout, reg-stopping, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, pre-bert, task-textclass, task-spanlab, task-lm, task-tree | 5 | Training Neural Response Selection for Task-Oriented Dialogue Systems | Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su | https://www.aclweb.org/anthology/P19-1536.pdf |
| 2019 | ACL | # optim-adam, 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, optim-projection, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, adv-train, loss-nce, task-seqlab, task-relation | 2 | Reinforced Training Data Selection for Domain Adaptation | Miaofeng Liu, Yan Song, Hongbin Zou, Tong Zhang | https://www.aclweb.org/anthology/P19-1189.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-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, optim-projection, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, arch-memo, pre-glove, adv-examp, adv-train, task-spanlab | 2 | Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA | Yichen Jiang, Mohit Bansal | https://www.aclweb.org/anthology/P19-1262.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-stopping, train-mtl, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-transformer, search-beam, task-condlm, task-seq2seq | 4 | Distilling Translations with Visual Awareness | Julia Ive, Pranava Madhyastha, Lucia Specia | https://www.aclweb.org/anthology/P19-1653.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-subword, pre-glove, pre-elmo, task-textclass, task-lm, task-relation | 2 | Unsupervised Learning of PCFGs with Normalizing Flow | Lifeng Jin, Finale Doshi-Velez, Timothy Miller, Lane Schwartz, William Schuler | https://www.aclweb.org/anthology/P19-1234.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-cnn, arch-att, arch-bilinear | 4 | Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs | Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul | https://www.aclweb.org/anthology/P19-1466.pdf |
| 2019 | ACL | # optim-projection, train-mll, train-transfer, arch-coverage, arch-subword, struct-crf, adv-train, latent-topic, task-textclass, task-lexicon | 1 | A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity | Yoshinari Fujinuma, Jordan Boyd-Graber, Michael J. Paul | https://www.aclweb.org/anthology/P19-1489.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, optim-projection, arch-lstm, comb-ensemble | 1 | Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment | Nanjiang Jiang, Marie-Catherine de Marneffe | https://www.aclweb.org/anthology/P19-1412.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-adam, optim-projection, reg-dropout, reg-stopping, reg-patience, train-active, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-glove, pre-bert, struct-cfg, adv-train, latent-vae, latent-topic, task-textclass, task-lm | 1 | Variational Pretraining for Semi-supervised Text Classification | Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith | https://www.aclweb.org/anthology/P19-1590.pdf |
| 2019 | ACL | # optim-adam, 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, 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, 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, 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-projection, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-bert | 5 | SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking | Hwaran Lee, Jinsik Lee, Tae-Yoon Kim | https://www.aclweb.org/anthology/P19-1546.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, reg-stopping, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, task-lm | 13 | COMET: Commonsense Transformers for Automatic Knowledge Graph Construction | Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi | https://www.aclweb.org/anthology/P19-1470.pdf |
| 2019 | ACL | # optim-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-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, 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, 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 | # optim-projection, train-mll, pre-word2vec | 0 | Annotation and Automatic Classification of Aspectual Categories | Markus Egg, Helena Prepens, Will Roberts | https://www.aclweb.org/anthology/P19-1323.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze | 0 | Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings | Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti | https://www.aclweb.org/anthology/P19-1168.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-labelsmooth, train-transfer, activ-relu, pool-max, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-bert, latent-topic, task-textpair, task-lm, task-seq2seq | 2 | Zero-shot Word Sense Disambiguation using Sense Definition Embeddings | Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar | https://www.aclweb.org/anthology/P19-1568.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-norm, arch-bilinear, nondif-straightthrough | 1 | Relation Embedding with Dihedral Group in Knowledge Graph | Canran Xu, Ruijiang Li | https://www.aclweb.org/anthology/P19-1026.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, pool-max, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-bert, struct-crf, task-seqlab, task-spanlab | 6 | Dynamically Fused Graph Network for Multi-hop Reasoning | Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu | https://www.aclweb.org/anthology/P19-1617.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, task-condlm, task-seq2seq | 6 | Attention Guided Graph Convolutional Networks for Relation Extraction | Zhijiang Guo, Yan Zhang, Wei Lu | https://www.aclweb.org/anthology/P19-1024.pdf |
| 2019 | ACL | # optim-sgd, 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 | # 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-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 | # optim-adam, optim-projection, init-glorot, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-elmo, task-lm, task-relation | 1 | Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution | Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan | https://www.aclweb.org/anthology/P19-1409.pdf |
| 2019 | EMNLP | # 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-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 | # optim-adam, optim-projection, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, arch-transformer, struct-crf, task-seqlab | 1 | Low-Resource Name Tagging Learned with Weakly Labeled Data | Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu, Heng Ji | https://www.aclweb.org/anthology/D19-1025.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, optim-projection, reg-patience, reg-decay, arch-att, arch-coverage, arch-subword, pre-bert, task-seqlab | 13 | Fine-Grained Analysis of Propaganda in News Article | Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov | https://www.aclweb.org/anthology/D19-1565.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab | 0 | Answering questions by learning to rank - Learning to rank by answering questions | George Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti | https://www.aclweb.org/anthology/D19-1256.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, task-condlm | 5 | Dual Attention Networks for Visual Reference Resolution in Visual Dialog | Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang | https://www.aclweb.org/anthology/D19-1209.pdf |
| 2019 | EMNLP | # 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-projection, train-mll, arch-coverage, arch-subword, pre-fasttext, pre-bert, loss-svd, task-lm | 0 | SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval | Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto, Goran Glavaš | https://www.aclweb.org/anthology/D19-3034.pdf |
| 2019 | EMNLP | # optim-projection, train-transfer, arch-rnn, arch-lstm, pre-elmo, pre-bert, adv-train, task-textclass, task-seqlab, task-lm, task-cloze | 4 | Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling | Xiaochuang Han, Jacob Eisenstein | https://www.aclweb.org/anthology/D19-1433.pdf |
| 2019 | EMNLP | # optim-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, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, pre-fasttext, task-textclass | 0 | PRADO: Projection Attention Networks for Document Classification On-Device | Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva | https://www.aclweb.org/anthology/D19-1506.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # optim-projection, latent-topic, loss-svd | 0 | Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm | Moontae Lee, Sungjun Cho, David Bindel, David Mimno | https://www.aclweb.org/anthology/D19-1504.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 | # 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, 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-projection, reg-dropout, train-mtl, train-parallel, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-gating, arch-memo, arch-coverage, arch-transformer, pre-bert | 1 | Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection | Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun | https://www.aclweb.org/anthology/D19-1471.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-coverage, pre-glove, pre-bert, task-textpair | 0 | Evaluating BERT for natural language inference: A case study on the CommitmentBank | Nanjiang Jiang, Marie-Catherine de Marneffe | https://www.aclweb.org/anthology/D19-1630.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 | # 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-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, optim-projection, train-augment, arch-coverage | 3 | It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution | Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, Simone Teufel | https://www.aclweb.org/anthology/D19-1530.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-seq2seq, task-cloze | 1 | Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects | Jianmo Ni, Jiacheng Li, Julian McAuley | https://www.aclweb.org/anthology/D19-1018.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, norm-layer, norm-batch, struct-crf, adv-train, task-textclass, task-seqlab | 0 | Open Event Extraction from Online Text using a Generative Adversarial Network | Rui Wang, Deyu Zhou, Yulan He | https://www.aclweb.org/anthology/D19-1027.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-adam, optim-projection, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-spanlab, task-lm, task-relation, task-tree | 0 | Linking artificial and human neural representations of language | Jon Gauthier, Roger Levy | https://www.aclweb.org/anthology/D19-1050.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-stopping, latent-vae | 0 | A Deep Factorization of Style and Structure in Fonts | Akshay Srivatsan, Jonathan Barron, Dan Klein, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/D19-1225.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, optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-copy, comb-ensemble, pre-glove, latent-vae, task-relation, task-tree, task-graph, task-lexicon | 0 | Semantic graph parsing with recurrent neural network DAG grammars | Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata | https://www.aclweb.org/anthology/D19-1278.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-coverage, task-lm | 0 | Neural News Recommendation with Heterogeneous User Behavior | Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/D19-1493.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, latent-topic, loss-svd, task-lm, task-seq2seq | 0 | Adaptive Parameterization for Neural Dialogue Generation | Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin | https://www.aclweb.org/anthology/D19-1188.pdf |
| 2019 | EMNLP | # optim-projection, init-glorot, train-mll, arch-gnn, arch-att, arch-selfatt, arch-coverage, loss-margin | 0 | Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model | Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua | https://www.aclweb.org/anthology/D19-1274.pdf |
| 2019 | EMNLP | # optim-projection, arch-subword, pre-fasttext, loss-cca, loss-svd | 0 | Quantifying the Semantic Core of Gender Systems | Adina Williams, Damian Blasi, Lawrence Wolf-Sonkin, Hanna Wallach, Ryan Cotterell | https://www.aclweb.org/anthology/D19-1577.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, latent-vae, task-tree | 0 | Answering Conversational Questions on Structured Data without Logical Forms | Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun | https://www.aclweb.org/anthology/D19-1603.pdf |
| 2019 | EMNLP | # 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-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, 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, 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-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-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, 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 | # optim-projection, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer | 1 | UR-FUNNY: A Multimodal Language Dataset for Understanding Humor | Md Kamrul Hasan, Wasifur Rahman, AmirAli Bagher Zadeh, Jianyuan Zhong, Md Iftekhar Tanveer, Louis-Philippe Morency, Mohammed (Ehsan) Hoque | https://www.aclweb.org/anthology/D19-1211.pdf |
| 2019 | EMNLP | # 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, 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 | # 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, 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, 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, optim-projection, reg-dropout, reg-norm, task-textclass | 0 | Auditing Deep Learning processes through Kernel-based Explanatory Models | Danilo Croce, Daniele Rossini, Roberto Basili | https://www.aclweb.org/anthology/D19-1415.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, pre-bert, task-spanlab | 0 | Movie Plot Analysis via Turning Point Identification | Pinelopi Papalampidi, Frank Keller, Mirella Lapata | https://www.aclweb.org/anthology/D19-1180.pdf |
| 2019 | EMNLP | # optim-projection, arch-lstm, arch-bilstm, arch-att | 0 | Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas | Kosuke Akimoto, Takuya Hiraoka, Kunihiko Sadamasa, Mathias Niepert | https://www.aclweb.org/anthology/D19-1645.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq, task-relation | 0 | Recurrent Positional Embedding for Neural Machine Translation | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita | https://www.aclweb.org/anthology/D19-1139.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-subword, pre-fasttext, task-lm, task-seq2seq, task-lexicon | 1 | Examining Gender Bias in Languages with Grammatical Gender | Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang | https://www.aclweb.org/anthology/D19-1531.pdf |
| 2019 | EMNLP | # optim-projection, train-mtl, arch-cnn, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-cloze | 9 | Patient Knowledge Distillation for BERT Model Compression | Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu | https://www.aclweb.org/anthology/D19-1441.pdf |
| 2019 | EMNLP | # optim-adam, 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-sgd, optim-adam, optim-projection, arch-lstm, arch-cnn, arch-att, nondif-reinforce, adv-train, task-textpair | 0 | DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning | Ruiping Li, Xiang Cheng | https://www.aclweb.org/anthology/D19-1266.pdf |
| 2019 | EMNLP | # optim-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-projection, train-transfer, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-condlm | 0 | Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects | James Mullenbach, Jonathan Gordon, Nanyun Peng, Jonathan May | https://www.aclweb.org/anthology/D19-1625.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # optim-projection, train-mll, train-transfer, arch-gnn, arch-att, pre-bert, adv-train | 1 | FewRel 2.0: Towards More Challenging Few-Shot Relation Classification | Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou | https://www.aclweb.org/anthology/D19-1649.pdf |
| 2019 | EMNLP | # optim-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-sgd, optim-adam, optim-adagrad, optim-projection, reg-dropout, train-mll, arch-rnn, arch-cnn, arch-bilinear, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-lexicon | 0 | Cross-lingual Semantic Specialization via Lexical Relation Induction | Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen | https://www.aclweb.org/anthology/D19-1226.pdf |
| 2019 | EMNLP | # optim-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 | # 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, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree | 1 | JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation | Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1546.pdf |
| 2019 | EMNLP | # optim-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, 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 | # optim-adam, optim-projection, pre-word2vec, pre-glove | 0 | Exploring Human Gender Stereotypes with Word Association Test | Yupei Du, Yuanbin Wu, Man Lan | https://www.aclweb.org/anthology/D19-1635.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, activ-tanh, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, task-lm, task-seq2seq, task-relation | 1 | Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks | Binxuan Huang, Kathleen Carley | https://www.aclweb.org/anthology/D19-1549.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # optim-projection, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-copy, pre-bert, task-seq2seq | 0 | Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set | Katharina Kann, Kyunghyun Cho, Samuel R. Bowman | https://www.aclweb.org/anthology/D19-1329.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, latent-vae, latent-topic | 0 | Document Hashing with Mixture-Prior Generative Models | Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen | https://www.aclweb.org/anthology/D19-1526.pdf |
| 2019 | EMNLP | # optim-sgd, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, struct-crf, task-seqlab, task-lexicon | 0 | What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis | Xiaolei Huang, Jonathan May, Nanyun Peng | https://www.aclweb.org/anthology/D19-1672.pdf |
| 2019 | EMNLP | # optim-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 | # 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, 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 | # 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-projection, train-augment, pool-mean, arch-rnn, arch-lstm, arch-att, task-tree | 2 | Executing Instructions in Situated Collaborative Interactions | Alane Suhr, Claudia Yan, Jack Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi | https://www.aclweb.org/anthology/D19-1218.pdf |
| 2019 | EMNLP | # 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 | # optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, nondif-reinforce, loss-margin | 0 | Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning | Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao | https://www.aclweb.org/anthology/D19-1264.pdf |
| 2019 | EMNLP | # 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-projection, arch-att, arch-coverage, pre-bert, task-textpair, task-lm, task-tree | 0 | How well do NLI models capture verb veridicality? | Alexis Ross, Ellie Pavlick | https://www.aclweb.org/anthology/D19-1228.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze | 1 | Visualizing and Understanding the Effectiveness of BERT | Yaru Hao, Li Dong, Furu Wei, Ke Xu | https://www.aclweb.org/anthology/D19-1424.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-norm, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, task-lm, task-relation | 0 | Specializing Word Embeddings (for Parsing) by Information Bottleneck | Xiang Lisa Li, Jason Eisner | https://www.aclweb.org/anthology/D19-1276.pdf |
| 2019 | EMNLP | # optim-sgd, optim-projection, init-glorot, arch-cnn, arch-att, arch-bilinear, comb-ensemble, loss-margin, task-textpair | 0 | Representation Learning with Ordered Relation Paths for Knowledge Graph Completion | Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang | https://www.aclweb.org/anthology/D19-1268.pdf |
| 2019 | EMNLP | # optim-adam, optim-adadelta, optim-projection, init-glorot, reg-dropout, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-residual, arch-bilinear, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-seq2seq, task-relation, task-tree | 0 | Syntax-Enhanced Self-Attention-Based Semantic Role Labeling | Yue Zhang, Rui Wang, Luo Si | https://www.aclweb.org/anthology/D19-1057.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # optim-projection, arch-lstm, arch-cnn, task-lm, task-condlm | 0 | Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation | Mingyang Zhou, Josh Arnold, Zhou Yu | https://www.aclweb.org/anthology/D19-1014.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, struct-crf, task-textclass, task-tree | 0 | Reconstructing Capsule Networks for Zero-shot Intent Classification | Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y.S. Lam | https://www.aclweb.org/anthology/D19-1486.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-bert, struct-crf | 1 | A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding | Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu | https://www.aclweb.org/anthology/D19-1214.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-subword, pre-fasttext, adv-train, latent-vae, loss-svd, task-lexicon | 1 | A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation | Hagai Taitelbaum, Gal Chechik, Jacob Goldberger | https://www.aclweb.org/anthology/D19-1363.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-augment, arch-lstm, arch-bilstm, task-relation | 0 | Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers | Adam Fisch, Jiang Guo, Regina Barzilay | https://www.aclweb.org/anthology/D19-1574.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, latent-topic, task-lm | 0 | A Hierarchical Location Prediction Neural Network for Twitter User Geolocation | Binxuan Huang, Kathleen Carley | https://www.aclweb.org/anthology/D19-1480.pdf |
| 2019 | EMNLP | # optim-adam, 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-adam, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-selfatt | 0 | Neural News Recommendation with Multi-Head Self-Attention | Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/D19-1671.pdf |
| 2019 | EMNLP | # 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, 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-projection, reg-dropout, norm-layer, pool-mean, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-textclass, task-textpair | 0 | Learning Invariant Representations of Social Media Users | Nicholas Andrews, Marcus Bishop | https://www.aclweb.org/anthology/D19-1178.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, pre-word2vec, pre-glove, pre-elmo, adv-examp, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 8 | Universal Adversarial Triggers for Attacking and Analyzing NLP | Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh | https://www.aclweb.org/anthology/D19-1221.pdf |
| 2019 | EMNLP | # optim-adam, 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-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 | # optim-projection, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, task-textclass, task-extractive, task-lm, task-condlm, task-seq2seq | 0 | From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining | Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid, Chloé Clavel | https://www.aclweb.org/anthology/D19-1556.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, comb-ensemble, search-beam, pre-bert, task-lm, task-seq2seq | 0 | Exploiting Monolingual Data at Scale for Neural Machine Translation | Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1430.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, pre-use, adv-train, loss-cca, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze | 0 | Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection | Nina Poerner, Hinrich Schütze | https://www.aclweb.org/anthology/D19-1173.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-memo, pre-glove | 0 | A Progressive Model to Enable Continual Learning for Semantic Slot Filling | Yilin Shen, Xiangyu Zeng, Hongxia Jin | https://www.aclweb.org/anthology/D19-1126.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-subword, struct-crf, task-lm | 0 | Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary | Adithya Renduchintala, Philipp Koehn, Jason Eisner | https://www.aclweb.org/anthology/D19-1679.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # 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 | NAA-CL | # optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, pre-elmo, loss-cca, loss-svd, task-seqlab, task-lm, task-seq2seq | 13 | Understanding Learning Dynamics Of Language Models with SVCCA | Naomi Saphra, Adam Lopez | https://www.aclweb.org/anthology/N19-1329.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, arch-coverage, pre-glove, latent-topic | 5 | Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings | Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky | https://www.aclweb.org/anthology/N19-1304.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-projection, reg-dropout, train-mll, arch-lstm, adv-train, task-relation, task-tree, task-alignment | 1 | Typological Features for Multilingual Delexicalised Dependency Parsing | Manon Scholivet, Franck Dary, Alexis Nasr, Benoit Favre, Carlos Ramisch | https://www.aclweb.org/anthology/N19-1393.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-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-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-sgd, optim-adam, optim-adagrad, optim-projection, reg-norm, arch-lstm, arch-bilstm, arch-memo, pre-glove, latent-topic, task-lexicon | 1 | Sentence Embedding Alignment for Lifelong Relation Extraction | Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang | https://www.aclweb.org/anthology/N19-1086.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, pre-word2vec, pre-glove | 46 | Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them | Hila Gonen, Yoav Goldberg | https://www.aclweb.org/anthology/N19-1061.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, optim-projection, reg-dropout, train-transfer, arch-lstm, arch-cnn, arch-memo, latent-vae, task-lm | 3 | Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling | Prince Zizhuang Wang, William Yang Wang | https://www.aclweb.org/anthology/N19-1025.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, nondif-reinforce, task-seq2seq, task-tree | 4 | Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases | Yu Chen, Lingfei Wu, Mohammed J. Zaki | https://www.aclweb.org/anthology/N19-1299.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, arch-subword, pre-fasttext, struct-crf, adv-train, loss-svd, task-seqlab, task-lm, task-lexicon, task-alignment | 0 | Zero-Shot Cross-Lingual Opinion Target Extraction | Soufian Jebbara, Philipp Cimiano | https://www.aclweb.org/anthology/N19-1257.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, norm-gradient, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-memo, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seq2seq, task-relation | 3 | Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations | Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang | https://www.aclweb.org/anthology/N19-1118.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, init-glorot, loss-svd, task-textpair | 0 | Fact Discovery from Knowledge Base via Facet Decomposition | Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam | https://www.aclweb.org/anthology/N19-1297.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, pre-word2vec, task-seqlab | 7 | Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings | Thomas Manzini, Lim Yao Chong, Alan W Black, Yulia Tsvetkov | https://www.aclweb.org/anthology/N19-1062.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 | # optim-adam, optim-adagrad, optim-adadelta, optim-projection, reg-dropout, reg-norm, train-mll, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-gating, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 7 | Polyglot Contextual Representations Improve Crosslingual Transfer | Phoebe Mulcaire, Jungo Kasai, Noah A. Smith | https://www.aclweb.org/anthology/N19-1392.pdf |
| 2019 | NAA-CL | # optim-adam, 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-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 | # optim-projection, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, pre-elmo, struct-crf, adv-train, task-seqlab, task-relation | 10 | A general framework for information extraction using dynamic span graphs | Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/N19-1308.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, task-seqlab | 0 | On the Idiosyncrasies of the Mandarin Chinese Classifier System | Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell | https://www.aclweb.org/anthology/N19-1415.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, init-glorot, reg-dropout, reg-stopping, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, struct-crf, task-seqlab, task-lm, task-tree, task-graph | 8 | Text Generation from Knowledge Graphs with Graph Transformers | Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/N19-1238.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, reg-stopping, norm-gradient, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, struct-crf, adv-examp, adv-train, task-textclass, task-lm, task-condlm | 3 | Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems | Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych | https://www.aclweb.org/anthology/N19-1165.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, search-viterbi, loss-svd, task-lm, task-seq2seq | 0 | Enabling Real-time Neural IME with Incremental Vocabulary Selection | Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama | https://www.aclweb.org/anthology/N19-2001.pdf |
| 2019 | NAA-CL | # optim-adam, 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, 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-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 | # optim-projection, train-mll, arch-lstm, arch-coverage, task-relation, task-tree, task-graph, task-alignment | 0 | Cross-lingual CCG Induction | Kilian Evang | https://www.aclweb.org/anthology/N19-1160.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, pool-max, arch-rnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-bert, task-seq2seq | 11 | Information Aggregation for Multi-Head Attention with Routing-by-Agreement | Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu | https://www.aclweb.org/anthology/N19-1359.pdf |
| 2019 | NAA-CL | # optim-adam, 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, optim-projection, train-mtl, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm | 6 | Massively Multilingual Adversarial Speech Recognition | Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky | https://www.aclweb.org/anthology/N19-1009.pdf |
| 2019 | NAA-CL | # optim-projection, comb-ensemble, loss-svd, task-textclass | 1 | A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems | Elham J. Barezi, Ian D. Wood, Pascale Fung, Hamid R. Rabiee | https://www.aclweb.org/anthology/N19-1106.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-transfer, pool-max, pool-mean, arch-lstm, arch-att, arch-memo, arch-bilinear, pre-word2vec, pre-glove, task-textclass, task-seqlab | 1 | Description-Based Zero-shot Fine-Grained Entity Typing | Rasha Obeidat, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli | https://www.aclweb.org/anthology/N19-1087.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-active, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear | 0 | Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision | Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu | https://www.aclweb.org/anthology/N19-1107.pdf |
| 2019 | NAA-CL | # optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-fasttext, task-textpair, task-lm | 5 | CNM: An Interpretable Complex-valued Network for Matching | Qiuchi Li, Benyou Wang, Massimo Melucci | https://www.aclweb.org/anthology/N19-1420.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-labelsmooth, norm-batch, arch-cnn, arch-att, arch-bilinear, task-textpair | 2 | Adaptive Convolution for Multi-Relational Learning | Xiaotian Jiang, Quan Wang, Bin Wang | https://www.aclweb.org/anthology/N19-1103.pdf |