| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, latent-vae, loss-nce, task-seq2seq, task-tree, task-graph | 0 | Discourse Representation Parsing for Sentences and Documents | Jiangming Liu, Shay B. Cohen, Mirella Lapata | https://www.aclweb.org/anthology/P19-1629.pdf |
| 2019 | ACL | # optim-adam, 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, arch-lstm, arch-att, arch-memo, arch-coverage, pre-elmo, pre-bert, task-spanlab | 3 | Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index | Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/P19-1436.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-rnn, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert | 0 | Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings | Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1574.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-copy, arch-coverage, task-condlm, task-seq2seq | 2 | Handling Divergent Reference Texts when Evaluating Table-to-Text Generation | Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das, William Cohen | https://www.aclweb.org/anthology/P19-1483.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-coverage, arch-subword, task-seq2seq | 0 | CogNet: A Large-Scale Cognate Database | Khuyagbaatar Batsuren, Gabor Bella, Fausto Giunchiglia | https://www.aclweb.org/anthology/P19-1302.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mll, arch-coverage, arch-subword, pre-fasttext, task-seq2seq | 0 | On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study | Damian Blasi, Ryan Cotterell, Lawrence Wolf-Sonkin, Sabine Stoll, Balthasar Bickel, Marco Baroni | https://www.aclweb.org/anthology/P19-1384.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, arch-coverage, comb-ensemble, search-beam, task-lm, task-seq2seq | 3 | Data-to-text Generation with Entity Modeling | Ratish Puduppully, Li Dong, Mirella Lapata | https://www.aclweb.org/anthology/P19-1195.pdf |
| 2019 | ACL | # optim-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-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, nondif-minrisk, task-seq2seq | 8 | Bridging the Gap between Training and Inference for Neural Machine Translation | Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu | https://www.aclweb.org/anthology/P19-1426.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-coverage, pre-glove, pre-skipthought, pre-elmo, pre-bert, adv-train, task-textpair, task-lm, task-cloze, task-relation | 2 | DisSent: Learning Sentence Representations from Explicit Discourse Relations | Allen Nie, Erin Bennett, Noah Goodman | https://www.aclweb.org/anthology/P19-1442.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, activ-tanh, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq | 0 | Incorporating Linguistic Constraints into Keyphrase Generation | Jing Zhao, Yuxiang Zhang | https://www.aclweb.org/anthology/P19-1515.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-coverage, arch-subword, task-textpair, task-condlm, task-seq2seq | 1 | Simple and Effective Paraphrastic Similarity from Parallel Translations | John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/P19-1453.pdf |
| 2019 | ACL | # reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-relation | 8 | Head-Driven Phrase Structure Grammar Parsing on Penn Treebank | Junru Zhou, Hai Zhao | https://www.aclweb.org/anthology/P19-1230.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, reg-labelsmooth, train-mtl, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, struct-cfg, task-textclass, task-lm, task-seq2seq, task-relation | 1 | Scalable Syntax-Aware Language Models Using Knowledge Distillation | Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom | https://www.aclweb.org/anthology/P19-1337.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-seq2seq | 1 | DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction | Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu | https://www.aclweb.org/anthology/P19-1137.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-bert, loss-nce, task-textclass, task-textpair | 0 | Matching Article Pairs with Graphical Decomposition and Convolutions | Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu | https://www.aclweb.org/anthology/P19-1632.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-att, arch-residual, arch-coverage, latent-vae, loss-nce, task-lm, task-seq2seq, task-lexicon | 1 | Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B | Jiaming Luo, Yuan Cao, Regina Barzilay | https://www.aclweb.org/anthology/P19-1303.pdf |
| 2019 | ACL | # optim-projection, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, comb-ensemble, pre-fasttext, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 3 | Massively Multilingual Transfer for NER | Afshin Rahimi, Yuan Li, Trevor Cohn | https://www.aclweb.org/anthology/P19-1015.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-skipthought, pre-bert, task-seqlab | 0 | Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations | Sumeet Kumar, Kathleen Carley | https://www.aclweb.org/anthology/P19-1498.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, train-mll, arch-coverage, arch-subword, pre-fasttext, pre-elmo, task-lm, task-seq2seq | 2 | Multilingual and Cross-Lingual Graded Lexical Entailment | Ivan Vulić, Simone Paolo Ponzetto, Goran Glavaš | https://www.aclweb.org/anthology/P19-1490.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, search-beam, search-viterbi, pre-elmo, struct-crf, task-seqlab, task-seq2seq, task-tree | 0 | Span-Level Model for Relation Extraction | Kalpit Dixit, Yaser Al-Onaizan | https://www.aclweb.org/anthology/P19-1525.pdf |
| 2019 | ACL | # arch-rnn, arch-cnn, arch-copy, arch-coverage, task-seq2seq | 1 | HighRES: Highlight-based Reference-less Evaluation of Summarization | Hardy Hardy, Shashi Narayan, Andreas Vlachos | https://www.aclweb.org/anthology/P19-1330.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-coverage, comb-ensemble, search-viterbi, struct-crf, adv-train, task-textclass, task-seq2seq, task-relation | 0 | A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining | Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1516.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq | 0 | Inducing Document Structure for Aspect-based Summarization | Lea Frermann, Alexandre Klementiev | https://www.aclweb.org/anthology/P19-1630.pdf |
| 2019 | ACL | # train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, adv-train, task-seq2seq | 0 | Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation | Francine Chen, Yan-Ying Chen | https://www.aclweb.org/anthology/P19-1211.pdf |
| 2019 | ACL | # optim-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 | # train-mll, arch-lstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, loss-svd | 1 | Relational Word Embeddings | Jose Camacho-Collados, Luis Espinosa Anke, Steven Schockaert | https://www.aclweb.org/anthology/P19-1318.pdf |
| 2019 | ACL | # optim-adam, 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, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-selfatt, arch-coverage, latent-vae, task-textpair, task-lm, task-condlm, task-relation, task-tree | 1 | Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming | Caio Corro, Ivan Titov | https://www.aclweb.org/anthology/P19-1551.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-relation | 1 | Neural Machine Translation with Reordering Embeddings | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita | https://www.aclweb.org/anthology/P19-1174.pdf |
| 2019 | ACL | # optim-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, train-transfer, arch-lstm, arch-coverage, task-lm | 1 | How Large Are Lions? Inducing Distributions over Quantitative Attributes | Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth | https://www.aclweb.org/anthology/P19-1388.pdf |
| 2019 | ACL | # train-augment, arch-rnn, arch-lstm, arch-att, arch-bilinear, arch-coverage, search-beam, pre-glove | 10 | Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation | Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie, Jason Baldridge | https://www.aclweb.org/anthology/P19-1181.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 3 | On the Word Alignment from Neural Machine Translation | Xintong Li, Guanlin Li, Lemao Liu, Max Meng, Shuming Shi | https://www.aclweb.org/anthology/P19-1124.pdf |
| 2019 | ACL | # optim-adam, arch-gru, arch-att, arch-memo, arch-coverage, pre-bert, task-seq2seq | 0 | Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment | Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu | https://www.aclweb.org/anthology/P19-1535.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, comb-ensemble, search-beam, search-viterbi, pre-word2vec, pre-elmo, pre-bert, task-lm | 0 | Cross-Domain Generalization of Neural Constituency Parsers | Daniel Fried, Nikita Kitaev, Dan Klein | https://www.aclweb.org/anthology/P19-1031.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-coverage, arch-subword, task-lm | 3 | Meaning to Form: Measuring Systematicity as Information | Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark, Ryan Cotterell | https://www.aclweb.org/anthology/P19-1171.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-textclass, task-extractive, task-lm, task-seq2seq | 4 | Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model | Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir Radev | https://www.aclweb.org/anthology/P19-1102.pdf |
| 2019 | ACL | # optim-adam, arch-att, arch-coverage, comb-ensemble, pre-bert, task-textpair, task-lm | 2 | Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge | Ashok Prakash, Arpit Sharma, Arindam Mitra, Chitta Baral | https://www.aclweb.org/anthology/P19-1614.pdf |
| 2019 | ACL | # train-mtl, pool-max, arch-lstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, pre-fasttext, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-tree | 10 | Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications | Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang | https://www.aclweb.org/anthology/P19-1150.pdf |
| 2019 | ACL | # optim-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-adam, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-skipthought, task-textclass | 0 | Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media | Chang Li, Dan Goldwasser | https://www.aclweb.org/anthology/P19-1247.pdf |
| 2019 | ACL | # arch-coverage | 1 | Studying Summarization Evaluation Metrics in the Appropriate Scoring Range | Maxime Peyrard | https://www.aclweb.org/anthology/P19-1502.pdf |
| 2019 | ACL | # init-glorot, train-transfer, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, latent-topic, task-textclass, task-lm | 1 | Zero-Shot Entity Linking by Reading Entity Descriptions | Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee | https://www.aclweb.org/anthology/P19-1335.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, struct-crf, latent-topic, loss-nce, task-textpair, task-seqlab, task-lm | 1 | Deep Neural Model Inspection and Comparison via Functional Neuron Pathways | James Fiacco, Samridhi Choudhary, Carolyn Rose | https://www.aclweb.org/anthology/P19-1575.pdf |
| 2019 | ACL | # optim-adam, train-transfer, arch-lstm, arch-treelstm, arch-bilinear, arch-coverage, search-viterbi, pre-glove, pre-elmo, task-textpair, task-relation, task-tree | 0 | Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation | Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki | https://www.aclweb.org/anthology/P19-1013.pdf |
| 2019 | ACL | # optim-adam, arch-att, arch-coverage, task-textclass, task-spanlab, task-relation | 2 | Errudite: Scalable, Reproducible, and Testable Error Analysis | Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, Daniel Weld | https://www.aclweb.org/anthology/P19-1073.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, norm-batch, norm-gradient, train-mtl, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-textclass, task-lm | 1 | #YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media | Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata | https://www.aclweb.org/anthology/P19-1241.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, train-transfer, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-greedy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree | 1 | Complex Question Decomposition for Semantic Parsing | Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang | https://www.aclweb.org/anthology/P19-1440.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq | 2 | Improving Abstractive Document Summarization with Salient Information Modeling | Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang | https://www.aclweb.org/anthology/P19-1205.pdf |
| 2019 | ACL | # optim-adagrad, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq | 0 | On the Summarization of Consumer Health Questions | Asma Ben Abacha, Dina Demner-Fushman | https://www.aclweb.org/anthology/P19-1215.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, adv-examp, task-textclass, task-seq2seq | 2 | On the Robustness of Self-Attentive Models | Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh | https://www.aclweb.org/anthology/P19-1147.pdf |
| 2019 | ACL | # arch-lstm, arch-coverage, struct-cfg, task-relation, task-tree, task-graph | 0 | Semantic Expressive Capacity with Bounded Memory | Antoine Venant, Alexander Koller | https://www.aclweb.org/anthology/P19-1008.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, arch-memo, arch-coverage, arch-transformer, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-seq2seq | 5 | Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset | Hannah Rashkin, Eric Michael Smith, Margaret Li, Y-Lan Boureau | https://www.aclweb.org/anthology/P19-1534.pdf |
| 2019 | ACL | # optim-adam, 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, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-word2vec, pre-glove, task-textclass | 2 | From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion | Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim | https://www.aclweb.org/anthology/P19-1094.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, pre-glove, task-tree | 0 | Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader | Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang | https://www.aclweb.org/anthology/P19-1417.pdf |
| 2019 | ACL | # train-mll, train-transfer, train-augment, arch-att, arch-coverage, loss-nce, task-textclass, task-seq2seq | 4 | CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech | Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, Marco Guerini | https://www.aclweb.org/anthology/P19-1271.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-textclass, task-seqlab | 1 | The Language of Legal and Illegal Activity on the Darknet | Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend | https://www.aclweb.org/anthology/P19-1419.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-lm, task-condlm, task-seq2seq | 1 | Informative Image Captioning with External Sources of Information | Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut | https://www.aclweb.org/anthology/P19-1650.pdf |
| 2019 | ACL | # init-glorot, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-relation | 0 | Embedding Time Expressions for Deep Temporal Ordering Models | Tanya Goyal, Greg Durrett | https://www.aclweb.org/anthology/P19-1433.pdf |
| 2019 | ACL | # reg-norm, arch-rnn, arch-coverage, task-lm | 0 | Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions | Innocent Ndubuisi-Obi, Sayan Ghosh, David Jurgens | https://www.aclweb.org/anthology/P19-1625.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, search-viterbi, pre-glove, loss-nce, task-seq2seq, task-graph | 5 | Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue | Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba | https://www.aclweb.org/anthology/P19-1080.pdf |
| 2019 | ACL | # train-mll, pool-max, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, task-textpair, task-extractive, task-seq2seq | 3 | Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization | Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu | https://www.aclweb.org/anthology/P19-1098.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, struct-crf, loss-nce, task-textpair, task-seq2seq | 1 | Optimal Transport-based Alignment of Learned Character Representations for String Similarity | Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum | https://www.aclweb.org/anthology/P19-1592.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-coverage, arch-transformer, pre-bert, task-lm, task-tree | 1 | The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution | Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/P19-1386.pdf |
| 2019 | ACL | # arch-att, arch-coverage, latent-topic | 3 | A Simple Theoretical Model of Importance for Summarization | Maxime Peyrard | https://www.aclweb.org/anthology/P19-1101.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-coverage, arch-energy, comb-ensemble, search-beam, task-seq2seq, task-relation, task-tree | 2 | Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies | Shuhei Kurita, Anders Søgaard | https://www.aclweb.org/anthology/P19-1232.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, search-beam, loss-margin, task-seq2seq | 4 | Neural Relation Extraction for Knowledge Base Enrichment | Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang | https://www.aclweb.org/anthology/P19-1023.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-gating, arch-memo, arch-coverage, pre-word2vec, adv-train, latent-vae, task-seq2seq | 0 | Enhancing Topic-to-Essay Generation with External Commonsense Knowledge | Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun | https://www.aclweb.org/anthology/P19-1193.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-cnn, arch-att, arch-bilinear, arch-coverage, task-spanlab, task-lm, task-relation | 2 | Are Red Roses Red? Evaluating Consistency of Question-Answering Models | Marco Tulio Ribeiro, Carlos Guestrin, Sameer Singh | https://www.aclweb.org/anthology/P19-1621.pdf |
| 2019 | ACL | # train-mll, arch-coverage, task-seq2seq | 0 | Crowdsourcing and Validating Event-focused Emotion Corpora for German and English | Enrica Troiano, Sebastian Padó, Roman Klinger | https://www.aclweb.org/anthology/P19-1391.pdf |
| 2019 | ACL | # optim-adam, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq | 4 | Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction | Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita | https://www.aclweb.org/anthology/P19-1225.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, latent-vae, task-relation | 0 | Data Programming for Learning Discourse Structure | Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher | https://www.aclweb.org/anthology/P19-1061.pdf |
| 2019 | ACL | # optim-adam, optim-amsgrad, init-glorot, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, struct-crf, task-relation, task-tree | 1 | Second-Order Semantic Dependency Parsing with End-to-End Neural Networks | Xinyu Wang, Jingxian Huang, Kewei Tu | https://www.aclweb.org/anthology/P19-1454.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-decay, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-coverage, pre-bert, task-spanlab, task-lm | 7 | Cognitive Graph for Multi-Hop Reading Comprehension at Scale | Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang | https://www.aclweb.org/anthology/P19-1259.pdf |
| 2019 | ACL | # optim-adam, init-glorot, norm-batch, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, task-textclass, task-textpair, task-lm, task-seq2seq | 4 | Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks | Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui | https://www.aclweb.org/anthology/P19-1145.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, reg-stopping, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-relation, task-tree, task-graph, task-alignment | 4 | Compositional Semantic Parsing across Graphbanks | Matthias Lindemann, Jonas Groschwitz, Alexander Koller | https://www.aclweb.org/anthology/P19-1450.pdf |
| 2019 | ACL | # train-mtl, train-transfer, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-relation | 4 | BAM! Born-Again Multi-Task Networks for Natural Language Understanding | Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le | https://www.aclweb.org/anthology/P19-1595.pdf |
| 2019 | ACL | # 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, train-augment, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, adv-examp, task-spanlab, task-seq2seq, task-alignment | 1 | Improving the Robustness of Question Answering Systems to Question Paraphrasing | Wee Chung Gan, Hwee Tou Ng | https://www.aclweb.org/anthology/P19-1610.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-batch, norm-gradient, arch-lstm, arch-att, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq | 2 | Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets | Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1435.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-lm, task-seq2seq | 1 | Knowledge-aware Pronoun Coreference Resolution | Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu | https://www.aclweb.org/anthology/P19-1083.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, task-seq2seq | 0 | Argument Generation with Retrieval, Planning, and Realization | Xinyu Hua, Zhe Hu, Lu Wang | https://www.aclweb.org/anthology/P19-1255.pdf |
| 2019 | ACL | # optim-projection, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, search-viterbi, pre-fasttext, pre-bert, struct-crf | 1 | Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates | Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss, Jonas Kuhn | https://www.aclweb.org/anthology/P19-1273.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-elmo, pre-bert, struct-hmm, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze | 0 | HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization | Xingxing Zhang, Furu Wei, Ming Zhou | https://www.aclweb.org/anthology/P19-1499.pdf |
| 2019 | ACL | # train-transfer, arch-coverage, pre-word2vec, adv-examp, latent-topic, loss-nce, task-textclass, task-textpair | 1 | SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference | Martin Schmitt, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1086.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-bert, task-textpair, task-lm, task-tree | 37 | Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference | Tom McCoy, Ellie Pavlick, Tal Linzen | https://www.aclweb.org/anthology/P19-1334.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, struct-crf, task-lm, task-tree | 0 | Rationally Reappraising ATIS-based Dialogue Systems | Jingcheng Niu, Gerald Penn | https://www.aclweb.org/anthology/P19-1550.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, pool-max, arch-rnn, arch-cnn, arch-coverage, search-beam, pre-glove, pre-skipthought, task-textpair, task-lm | 0 | A Cross-Domain Transferable Neural Coherence Model | Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/P19-1067.pdf |
| 2019 | ACL | # optim-adam, init-glorot, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, nondif-reinforce, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Towards Comprehensive Description Generation from Factual Attribute-value Tables | Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui | https://www.aclweb.org/anthology/P19-1600.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, task-extractive, task-seq2seq, task-tree | 1 | Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder | Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko | https://www.aclweb.org/anthology/P19-1407.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-att, arch-coverage, latent-vae, task-lm, task-seq2seq, task-tree | 0 | Syntax-Infused Variational Autoencoder for Text Generation | Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin | https://www.aclweb.org/anthology/P19-1199.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-coverage, comb-ensemble, task-textpair, task-lm, task-seq2seq, task-tree | 3 | An Imitation Learning Approach to Unsupervised Parsing | Bowen Li, Lili Mou, Frank Keller | https://www.aclweb.org/anthology/P19-1338.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-elmo, pre-bert, task-seqlab | 3 | Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation | Daniel Loureiro, Alípio Jorge | https://www.aclweb.org/anthology/P19-1569.pdf |
| 2019 | ACL | # reg-stopping, arch-rnn, arch-lstm, arch-bilstm, arch-coverage, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab | 1 | Towards Improving Neural Named Entity Recognition with Gazetteers | Tianyu Liu, Jin-Ge Yao, Chin-Yew Lin | https://www.aclweb.org/anthology/P19-1524.pdf |
| 2019 | ACL | # optim-adam, reg-decay, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-paravec, latent-topic, task-relation | 0 | Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls | Katherine Keith, Amanda Stent | https://www.aclweb.org/anthology/P19-1047.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-seqlab | 2 | Robust Representation Learning of Biomedical Names | Minh C. Phan, Aixin Sun, Yi Tay | https://www.aclweb.org/anthology/P19-1317.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-bert, adv-examp, adv-train, latent-vae, task-textclass, task-textpair, task-seq2seq | 0 | Soft Representation Learning for Sparse Transfer | Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang | https://www.aclweb.org/anthology/P19-1151.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, adv-train, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment | 1 | Domain Adaptation of Neural Machine Translation by Lexicon Induction | Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime Carbonell | https://www.aclweb.org/anthology/P19-1286.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-lstm, arch-coverage, pre-word2vec, task-seq2seq | 3 | Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning | Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych | https://www.aclweb.org/anthology/P19-1572.pdf |
| 2019 | ACL | # train-mll, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | Unsupervised Joint Training of Bilingual Word Embeddings | Benjamin Marie, Atsushi Fujita | https://www.aclweb.org/anthology/P19-1312.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-coverage, arch-subword, search-beam, pre-elmo, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | Generating Question-Answer Hierarchies | Kalpesh Krishna, Mohit Iyyer | https://www.aclweb.org/anthology/P19-1224.pdf |
| 2019 | ACL | # optim-sgd, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-coverage, arch-subword, pre-word2vec, pre-glove, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction | Mengjie Zhao, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1341.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, pre-glove | 13 | MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations | Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea | https://www.aclweb.org/anthology/P19-1050.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, reg-patience, reg-decay, arch-att, arch-coverage, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textpair, task-lm | 1 | GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification | Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun | https://www.aclweb.org/anthology/P19-1085.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, norm-batch, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, latent-vae, latent-topic, task-lm | 1 | Open Domain Event Extraction Using Neural Latent Variable Models | Xiao Liu, Heyan Huang, Yue Zhang | https://www.aclweb.org/anthology/P19-1276.pdf |
| 2019 | ACL | # reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, task-seq2seq, task-lexicon | 1 | Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering | Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, Jiajun Chen | https://www.aclweb.org/anthology/P19-1616.pdf |
| 2019 | ACL | # optim-adagrad, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq | 2 | BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization | Eva Sharma, Chen Li, Lu Wang | https://www.aclweb.org/anthology/P19-1212.pdf |
| 2019 | ACL | # arch-lstm, arch-att, arch-coverage, pre-bert, task-lm, task-seq2seq | 0 | Unsupervised Rewriter for Multi-Sentence Compression | Yang Zhao, Xiaoyu Shen, Wei Bi, Akiko Aizawa | https://www.aclweb.org/anthology/P19-1216.pdf |
| 2019 | ACL | # optim-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 | # train-mll, arch-lstm, arch-bilstm, arch-coverage, latent-topic, task-textclass, task-lexicon | 3 | Just “OneSeC” for Producing Multilingual Sense-Annotated Data | Bianca Scarlini, Tommaso Pasini, Roberto Navigli | https://www.aclweb.org/anthology/P19-1069.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 | # arch-att, arch-coverage, pre-word2vec | 0 | Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings | Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann, Alexander Panchenko | https://www.aclweb.org/anthology/P19-1474.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, comb-ensemble, pre-glove, task-seq2seq | 1 | A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation | Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin | https://www.aclweb.org/anthology/P19-1256.pdf |
| 2019 | ACL | # arch-rnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec | 2 | Argument Invention from First Principles | Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim | https://www.aclweb.org/anthology/P19-1097.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, search-beam, pre-word2vec, task-lm, task-seq2seq | 0 | Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization | Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis | https://www.aclweb.org/anthology/P19-1501.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-topic, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree | 2 | Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding | Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song | https://www.aclweb.org/anthology/P19-1190.pdf |
| 2019 | ACL | # arch-coverage, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm | 1 | Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark | Nikita Nangia, Samuel R. Bowman | https://www.aclweb.org/anthology/P19-1449.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, norm-layer, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert | 8 | Matching the Blanks: Distributional Similarity for Relation Learning | Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski | https://www.aclweb.org/anthology/P19-1279.pdf |
| 2019 | ACL | # optim-adam, arch-coverage, pre-bert, loss-margin, loss-triplet, task-textpair, task-lm | 1 | Learning to Rank for Plausible Plausibility | Zhongyang Li, Tongfei Chen, Benjamin Van Durme | https://www.aclweb.org/anthology/P19-1475.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, task-seq2seq | 2 | Global Optimization under Length Constraint for Neural Text Summarization | Takuya Makino, Tomoya Iwakura, Hiroya Takamura, Manabu Okumura | https://www.aclweb.org/anthology/P19-1099.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-glove, pre-bert, adv-examp, adv-train, task-textpair | 17 | Probing Neural Network Comprehension of Natural Language Arguments | Timothy Niven, Hung-Yu Kao | https://www.aclweb.org/anthology/P19-1459.pdf |
| 2019 | ACL | # train-mtl, arch-lstm, arch-att, arch-coverage, pre-glove, task-textpair, task-spanlab | 0 | Delta Embedding Learning | Xiao Zhang, Ji Wu, Dejing Dou | https://www.aclweb.org/anthology/P19-1322.pdf |
| 2019 | ACL | # train-transfer, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-relation, task-alignment | 1 | Sentence-Level Agreement for Neural Machine Translation | Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Min Zhang, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1296.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, latent-topic, task-seq2seq | 3 | Generating Summaries with Topic Templates and Structured Convolutional Decoders | Laura Perez-Beltrachini, Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/P19-1504.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-att, arch-memo, arch-coverage, pre-bert, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | TWEETQA: A Social Media Focused Question Answering Dataset | Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang | https://www.aclweb.org/anthology/P19-1496.pdf |
| 2019 | ACL | # init-glorot, arch-copy, arch-coverage, loss-nce, task-seq2seq, task-relation, task-tree | 3 | Transforming Complex Sentences into a Semantic Hierarchy | Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh | https://www.aclweb.org/anthology/P19-1333.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, task-seq2seq, task-relation, task-tree, task-graph | 0 | SemBleu: A Robust Metric for AMR Parsing Evaluation | Linfeng Song, Daniel Gildea | https://www.aclweb.org/anthology/P19-1446.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, pre-word2vec, task-extractive, task-seq2seq | 0 | This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation | Rui Zhang, Joel Tetreault | https://www.aclweb.org/anthology/P19-1043.pdf |
| 2019 | ACL | # arch-coverage, pre-glove, task-textpair, task-relation | 1 | SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition | Hongming Zhang, Hantian Ding, Yangqiu Song | https://www.aclweb.org/anthology/P19-1071.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, reg-dropout, train-mll, train-augment, pool-max, pool-mean, arch-rnn, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, search-greedy, search-beam, pre-glove, pre-bert, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 7 | AMR Parsing as Sequence-to-Graph Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/P19-1009.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, reg-stopping, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, task-lm | 13 | COMET: Commonsense Transformers for Automatic Knowledge Graph Construction | Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi | https://www.aclweb.org/anthology/P19-1470.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-copy, arch-coverage, task-seqlab, task-lm | 6 | Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling | Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh | https://www.aclweb.org/anthology/P19-1598.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze | 27 | ERNIE: Enhanced Language Representation with Informative Entities | Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu | https://www.aclweb.org/anthology/P19-1139.pdf |
| 2019 | ACL | # train-mll, train-transfer, train-augment, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, loss-svd, task-seqlab, task-lm, task-seq2seq, task-lexicon | 1 | Generalized Data Augmentation for Low-Resource Translation | Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/P19-1579.pdf |
| 2019 | ACL | # arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-copy, arch-bilinear, arch-coverage, search-beam, task-lm, task-condlm, task-seq2seq | 2 | PaperRobot: Incremental Draft Generation of Scientific Ideas | Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan | https://www.aclweb.org/anthology/P19-1191.pdf |
| 2019 | ACL | # arch-att, arch-copy, arch-coverage, search-beam, nondif-minrisk, task-textpair, task-seq2seq, task-tree | 1 | Reranking for Neural Semantic Parsing | Pengcheng Yin, Graham Neubig | https://www.aclweb.org/anthology/P19-1447.pdf |
| 2019 | ACL | # arch-coverage | 1 | A Corpus for Modeling User and Language Effects in Argumentation on Online Debating | Esin Durmus, Claire Cardie | https://www.aclweb.org/anthology/P19-1057.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-coverage, comb-ensemble, search-viterbi, pre-elmo | 5 | Wide-Coverage Neural A* Parsing for Minimalist Grammars | John Torr, Milos Stanojevic, Mark Steedman, Shay B. Cohen | https://www.aclweb.org/anthology/P19-1238.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze | 0 | Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings | Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti | https://www.aclweb.org/anthology/P19-1168.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-labelsmooth, train-transfer, activ-relu, pool-max, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-bert, latent-topic, task-textpair, task-lm, task-seq2seq | 2 | Zero-shot Word Sense Disambiguation using Sense Definition Embeddings | Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar | https://www.aclweb.org/anthology/P19-1568.pdf |
| 2019 | ACL | # optim-adam, reg-norm, train-mtl, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-lm | 0 | EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition | Subhradeep Kayal, George Tsatsaronis | https://www.aclweb.org/anthology/P19-1445.pdf |
| 2019 | ACL | # arch-coverage, pre-word2vec, latent-topic, task-seq2seq | 1 | Corpus-based Check-up for Thesaurus | Natalia Loukachevitch | https://www.aclweb.org/anthology/P19-1577.pdf |
| 2019 | ACL | # reg-dropout, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-alignment | 0 | Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach | Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun | https://www.aclweb.org/anthology/P19-1623.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, latent-vae, task-lm, task-seq2seq | 1 | Boosting Dialog Response Generation | Wenchao Du, Alan W Black | https://www.aclweb.org/anthology/P19-1005.pdf |
| 2019 | ACL | # arch-coverage, pre-word2vec, pre-glove, pre-bert, latent-topic, task-textclass, task-lm, task-graph | 0 | Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings | Zied Haj-Yahia, Adrien Sieg, Léa A. Deleris | https://www.aclweb.org/anthology/P19-1036.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-lstm, arch-cnn, arch-coverage, arch-subword, pre-fasttext, task-seq2seq | 0 | SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings | Chengyu Wang, Xiaofeng He, Aoying Zhou | https://www.aclweb.org/anthology/P19-1169.pdf |
| 2019 | ACL | # train-mll, arch-lstm, arch-att, arch-coverage, struct-crf, adv-train, task-seq2seq, task-alignment | 0 | Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text | Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti | https://www.aclweb.org/anthology/P19-1343.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, arch-lstm, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textclass, task-seq2seq | 0 | Unraveling Antonym’s Word Vectors through a Siamese-like Network | Mathias Etcheverry, Dina Wonsever | https://www.aclweb.org/anthology/P19-1319.pdf |
| 2019 | ACL | # optim-adam, 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-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, arch-rnn, arch-att, arch-coverage, arch-transformer, task-seq2seq | 3 | Dynamic Past and Future for Neural Machine Translation | Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/D19-1086.pdf |
| 2019 | EMNLP | # arch-coverage, pre-fasttext, pre-bert, task-seq2seq | 0 | Tanbih: Get To Know What You Are Reading | Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass, Preslav Nakov | https://www.aclweb.org/anthology/D19-3038.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-relation, task-tree | 0 | Syntax-aware Multilingual Semantic Role Labeling | Shexia He, Zuchao Li, Hai Zhao | https://www.aclweb.org/anthology/D19-1538.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, pre-glove, task-textclass | 0 | Improving Relation Extraction with Knowledge-attention | Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li | https://www.aclweb.org/anthology/D19-1022.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # arch-coverage, loss-nce | 0 | Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study | Bonan Min, Xiaoxi Zhao | https://www.aclweb.org/anthology/D19-1121.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-att, arch-coverage, pre-bert, task-lm, task-condlm, task-seq2seq | 0 | VizSeq: a visual analysis toolkit for text generation tasks | Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu | https://www.aclweb.org/anthology/D19-3043.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-elmo, pre-bert, loss-svd, task-lm | 0 | Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation | Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu | https://www.aclweb.org/anthology/D19-1640.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-coverage, pre-word2vec, struct-crf, task-seq2seq | 0 | A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis | Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao | https://www.aclweb.org/anthology/D19-1563.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-coverage, arch-subword, pre-fasttext, pre-bert, loss-svd, task-lm | 0 | SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval | Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto, Goran Glavaš | https://www.aclweb.org/anthology/D19-3034.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-gating, arch-coverage, pre-fasttext, pre-bert, task-spanlab, task-lm | 1 | Interactive Language Learning by Question Answering | Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler | https://www.aclweb.org/anthology/D19-1280.pdf |
| 2019 | EMNLP | # optim-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 | # arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, task-lm, task-tree | 0 | Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog | Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1163.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-copy, arch-coverage, pre-word2vec, latent-vae, task-lm, task-seq2seq | 0 | Unsupervised Context Rewriting for Open Domain Conversation | Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu, Jingsong Yu | https://www.aclweb.org/anthology/D19-1192.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, arch-coverage, arch-subword, task-lm, task-lexicon | 1 | Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction | Yova Kementchedjhieva, Mareike Hartmann, Anders Søgaard | https://www.aclweb.org/anthology/D19-1328.pdf |
| 2019 | EMNLP | # reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-coverage, pre-word2vec, struct-crf, task-textclass, task-lm, task-seq2seq | 0 | Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content | Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben | https://www.aclweb.org/anthology/D19-1239.pdf |
| 2019 | EMNLP | # reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, meta-arch | 1 | Show Your Work: Improved Reporting of Experimental Results | Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith | https://www.aclweb.org/anthology/D19-1224.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, pre-elmo, pre-bert, task-textpair, task-lm, task-seq2seq, task-cloze, task-alignment | 4 | Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks | Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou | https://www.aclweb.org/anthology/D19-1252.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, pre-word2vec, task-seqlab, task-lm, task-relation, task-graph | 0 | Supervising Unsupervised Open Information Extraction Models | Arpita Roy, Youngja Park, Taesung Lee, Shimei Pan | https://www.aclweb.org/anthology/D19-1067.pdf |
| 2019 | EMNLP | # optim-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 | # arch-coverage, pre-bert, task-lm, task-cloze | 3 | Commonsense Knowledge Mining from Pretrained Models | Joe Davison, Joshua Feldman, Alexander Rush | https://www.aclweb.org/anthology/D19-1109.pdf |
| 2019 | EMNLP | # train-mtl, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing | Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, Tomoya Iwakura | https://www.aclweb.org/anthology/D19-1648.pdf |
| 2019 | EMNLP | # arch-rnn, arch-coverage, pre-fasttext, pre-glove, task-textpair | 0 | Identifying and Explaining Discriminative Attributes | Armins Stepanjans, André Freitas | https://www.aclweb.org/anthology/D19-1440.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-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, train-mll, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Machine Translation With Weakly Paired Documents | Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1446.pdf |
| 2019 | EMNLP | # train-mll, arch-att, arch-coverage, task-seq2seq | 0 | Vecalign: Improved Sentence Alignment in Linear Time and Space | Brian Thompson, Philipp Koehn | https://www.aclweb.org/anthology/D19-1136.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textpair, task-spanlab, task-seq2seq, task-tree, task-graph | 0 | Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing | Jonathan Herzig, Jonathan Berant | https://www.aclweb.org/anthology/D19-1394.pdf |
| 2019 | EMNLP | # reg-dropout, reg-labelsmooth, train-mtl, train-mll, train-augment, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, search-greedy, search-beam, pre-glove, pre-bert, task-seq2seq, task-relation, task-tree, task-graph | 2 | Broad-Coverage Semantic Parsing as Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/D19-1392.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-seq2seq | 1 | Incorporating External Knowledge into Machine Reading for Generative Question Answering | Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li | https://www.aclweb.org/anthology/D19-1255.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations | Christian Hadiwinoto, Hwee Tou Ng, Wee Chung Gan | https://www.aclweb.org/anthology/D19-1533.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, latent-vae, task-seq2seq, task-tree, task-graph | 0 | Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs | Bailin Wang, Ivan Titov, Mirella Lapata | https://www.aclweb.org/anthology/D19-1391.pdf |
| 2019 | EMNLP | # optim-adam, 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, train-transfer, train-active, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-condlm, task-seq2seq | 14 | Learning to Speak and Act in a Fantasy Text Adventure Game | Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston | https://www.aclweb.org/anthology/D19-1062.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-coverage, latent-topic | 0 | Interpretable Word Embeddings via Informative Priors | Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson | https://www.aclweb.org/anthology/D19-1661.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-gru, arch-gating, arch-coverage, arch-transformer, pre-glove, adv-train, latent-vae, task-seq2seq, task-tree | 6 | An End-to-End Generative Architecture for Paraphrase Generation | Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin | https://www.aclweb.org/anthology/D19-1309.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-bilinear, arch-coverage, task-lm, task-relation | 0 | Towards Zero-shot Language Modeling | Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart, Anna Korhonen | https://www.aclweb.org/anthology/D19-1288.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-spanlab, task-lm, task-relation, task-tree | 0 | Linking artificial and human neural representations of language | Jon Gauthier, Roger Levy | https://www.aclweb.org/anthology/D19-1050.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm | 1 | Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs | Soumya Sharma, Bishal Santra, Abhik Jana, Santosh Tokala, Niloy Ganguly, Pawan Goyal | https://www.aclweb.org/anthology/D19-1631.pdf |
| 2019 | EMNLP | # arch-att, arch-coverage, pre-bert, task-spanlab, task-tree | 1 | QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions | Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark | https://www.aclweb.org/anthology/D19-1608.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, arch-cnn, arch-att, arch-gating, arch-coverage, arch-transformer, pre-bert, loss-margin, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Aligning Cross-Lingual Entities with Multi-Aspect Information | Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun | https://www.aclweb.org/anthology/D19-1451.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-coverage, pre-glove, pre-bert, struct-crf, task-textclass | 0 | Detecting Causal Language Use in Science Findings | Bei Yu, Yingya Li, Jun Wang | https://www.aclweb.org/anthology/D19-1473.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, pre-glove, pre-bert, task-textpair, task-spanlab, task-seq2seq | 1 | Better Rewards Yield Better Summaries: Learning to Summarise Without References | Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1307.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-condlm, task-seq2seq | 0 | What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues | Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang | https://www.aclweb.org/anthology/D19-1516.pdf |
| 2019 | EMNLP | # optim-adam, optim-adagrad, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-bilinear, arch-coverage, search-beam, task-extractive, task-seq2seq | 0 | How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing | Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1388.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # arch-rnn, arch-coverage, task-seqlab, task-tree | 0 | Entity resolution for noisy ASR transcripts | Arushi Raghuvanshi, Vijay Ramakrishnan, Varsha Embar, Lucien Carroll, Karthik Raghunathan | https://www.aclweb.org/anthology/D19-3011.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-att, arch-coverage, arch-transformer, search-beam, task-seq2seq | 0 | INMT: Interactive Neural Machine Translation Prediction | Sebastin Santy, Sandipan Dandapat, Monojit Choudhury, Kalika Bali | https://www.aclweb.org/anthology/D19-3018.pdf |
| 2019 | EMNLP | # optim-adagrad, arch-lstm, arch-bilstm, arch-att, arch-coverage, task-extractive, task-condlm, task-seq2seq | 0 | Attention Optimization for Abstractive Document Summarization | Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang | https://www.aclweb.org/anthology/D19-1117.pdf |
| 2019 | EMNLP | # optim-projection, init-glorot, train-mll, arch-gnn, arch-att, arch-selfatt, arch-coverage, loss-margin | 0 | Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model | Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua | https://www.aclweb.org/anthology/D19-1274.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-coverage, latent-topic | 0 | Modeling Frames in Argumentation | Yamen Ajjour, Milad Alshomary, Henning Wachsmuth, Benno Stein | https://www.aclweb.org/anthology/D19-1290.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, pre-elmo, pre-bert, task-lm | 1 | GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge | Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/D19-1355.pdf |
| 2019 | EMNLP | # optim-sgd, init-glorot, train-mll, train-augment, arch-lstm, arch-att, arch-coverage, arch-subword, search-beam, task-lm, task-seq2seq, task-relation | 0 | Surface Realisation Using Full Delexicalisation | Anastasia Shimorina, Claire Gardent | https://www.aclweb.org/anthology/D19-1305.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-bert, latent-topic, task-textclass, task-textpair | 0 | Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach | Wenpeng Yin, Jamaal Hay, Dan Roth | https://www.aclweb.org/anthology/D19-1404.pdf |
| 2019 | EMNLP | # arch-att, arch-coverage, pre-bert, task-spanlab, task-lm | 0 | A Summarization System for Scientific Documents | Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Francesca Bonin, David Konopnicki | https://www.aclweb.org/anthology/D19-3036.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-elmo | 0 | Rewarding Coreference Resolvers for Being Consistent with World Knowledge | Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, Daniel Herschcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard | https://www.aclweb.org/anthology/D19-1118.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, arch-coverage, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-seq2seq, task-tree | 0 | Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks | Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon | https://www.aclweb.org/anthology/D19-1183.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, pre-elmo, pre-use, task-textclass, task-textpair, task-seq2seq | 0 | The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization | Simeng Sun, Ani Nenkova | https://www.aclweb.org/anthology/D19-1116.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, search-greedy, task-extractive, task-condlm, task-seq2seq | 1 | An Entity-Driven Framework for Abstractive Summarization | Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang | https://www.aclweb.org/anthology/D19-1323.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-subword, nondif-reinforce, latent-vae, task-extractive, task-condlm, task-seq2seq | 0 | Select and Attend: Towards Controllable Content Selection in Text Generation | Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine | https://www.aclweb.org/anthology/D19-1054.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-coverage | 2 | SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations | Marco Maru, Federico Scozzafava, Federico Martelli, Roberto Navigli | https://www.aclweb.org/anthology/D19-1359.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq | 0 | Generating Classical Chinese Poems from Vernacular Chinese | Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Yu | https://www.aclweb.org/anthology/D19-1637.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-coverage, pre-elmo, pre-bert, task-relation | 0 | MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering | Hojae Han, Seungtaek Choi, Haeju Park, Seung-won Hwang | https://www.aclweb.org/anthology/D19-1601.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation | Rocco Tripodi, Roberto Navigli | https://www.aclweb.org/anthology/D19-1009.pdf |
| 2019 | EMNLP | # optim-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, train-mtl, train-mll, train-transfer, arch-att, arch-coverage, arch-transformer, pre-skipthought, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, meta-init | 0 | Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks | Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos | https://www.aclweb.org/anthology/D19-1112.pdf |
| 2019 | EMNLP | # optim-amsgrad, reg-dropout, reg-decay, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, comb-ensemble, search-beam, task-relation | 0 | A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection | Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou | https://www.aclweb.org/anthology/D19-1381.pdf |
| 2019 | EMNLP | # arch-coverage | 0 | CaRB: A Crowdsourced Benchmark for Open IE | Sangnie Bhardwaj, Samarth Aggarwal, Mausam Mausam | https://www.aclweb.org/anthology/D19-1651.pdf |
| 2019 | EMNLP | # reg-stopping, reg-patience, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, pre-word2vec, task-textclass, task-seq2seq, task-tree | 0 | CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases | Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, Dragomir Radev | https://www.aclweb.org/anthology/D19-1204.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-seqlab, task-lm, task-seq2seq, task-tree, task-alignment | 0 | Handling Syntactic Divergence in Low-resource Machine Translation | Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig | https://www.aclweb.org/anthology/D19-1143.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, task-tree | 1 | PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text | Haitian Sun, Tania Bedrax-Weiss, William Cohen | https://www.aclweb.org/anthology/D19-1242.pdf |
| 2019 | EMNLP | # train-mll, arch-coverage, arch-subword, task-lexicon, task-alignment | 0 | Don’t Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction | Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann Copestake | https://www.aclweb.org/anthology/D19-1090.pdf |
| 2019 | EMNLP | # reg-dropout, train-active, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, task-textclass | 1 | Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes | Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani | https://www.aclweb.org/anthology/D19-1580.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-layer, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textpair, task-condlm | 0 | Asynchronous Deep Interaction Network for Natural Language Inference | Di Liang, Fubao Zhang, Qi Zhang, Xuanjing Huang | https://www.aclweb.org/anthology/D19-1271.pdf |
| 2019 | EMNLP | # optim-adam, arch-coverage, pre-bert, task-textpair | 2 | Revealing the Importance of Semantic Retrieval for Machine Reading at Scale | Yixin Nie, Songhe Wang, Mohit Bansal | https://www.aclweb.org/anthology/D19-1258.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 | # reg-dropout, train-mll, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-lm, task-seq2seq | 0 | Investigating the Effectiveness of BPE: The Power of Shorter Sequences | Matthias Gallé | https://www.aclweb.org/anthology/D19-1141.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage | 0 | Charge-Based Prison Term Prediction with Deep Gating Network | Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, Yadong Ding | https://www.aclweb.org/anthology/D19-1667.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq | 0 | Attribute-aware Sequence Network for Review Summarization | Junjie Li, Xuepeng Wang, Dawei Yin, Chengqing Zong | https://www.aclweb.org/anthology/D19-1297.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-seq2seq, task-tree | 0 | Improving Back-Translation with Uncertainty-based Confidence Estimation | Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun | https://www.aclweb.org/anthology/D19-1073.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, task-relation, task-tree | 0 | Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering | Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu | https://www.aclweb.org/anthology/D19-1263.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, norm-gradient, pool-mean, arch-rnn, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-vae, task-seq2seq | 0 | Long and Diverse Text Generation with Planning-based Hierarchical Variational Model | Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu | https://www.aclweb.org/anthology/D19-1321.pdf |
| 2019 | EMNLP | # optim-sgd, arch-rnn, arch-att, arch-coverage, struct-hmm, task-tree | 0 | EUSP: An Easy-to-Use Semantic Parsing PlatForm | Bo An, Chen Bo, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/D19-3012.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, reg-patience, reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-coverage, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seqlab, task-seq2seq | 0 | Deep Copycat Networks for Text-to-Text Generation | Julia Ive, Pranava Madhyastha, Lucia Specia | https://www.aclweb.org/anthology/D19-1318.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-residual, arch-coverage, pre-glove, task-textpair, task-lm, task-relation, task-tree | 0 | Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling | Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin | https://www.aclweb.org/anthology/D19-1114.pdf |
| 2019 | EMNLP | # optim-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-sgd, optim-adam, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-glove | 0 | Feature2Vec: Distributional semantic modelling of human property knowledge | Steven Derby, Paul Miller, Barry Devereux | https://www.aclweb.org/anthology/D19-1595.pdf |
| 2019 | EMNLP | # optim-projection, train-transfer, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-condlm | 0 | Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects | James Mullenbach, Jonathan Gordon, Nanyun Peng, Jonathan May | https://www.aclweb.org/anthology/D19-1625.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, comb-ensemble, adv-feat, adv-train, task-lm, task-seq2seq | 0 | Pushing the Limits of Low-Resource Morphological Inflection | Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/D19-1091.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm | 0 | Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering | Vikas Yadav, Steven Bethard, Mihai Surdeanu | https://www.aclweb.org/anthology/D19-1260.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-coverage, loss-nce, task-seq2seq, task-tree | 1 | Global Reasoning over Database Structures for Text-to-SQL Parsing | Ben Bogin, Matt Gardner, Jonathan Berant | https://www.aclweb.org/anthology/D19-1378.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-gradient, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-extractive, task-spanlab, task-condlm, task-seq2seq | 0 | Reading Like HER: Human Reading Inspired Extractive Summarization | Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He | https://www.aclweb.org/anthology/D19-1300.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-coverage, search-beam, task-extractive, task-condlm, task-seq2seq | 0 | Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes | Litton J Kurisinkel, Nancy Chen | https://www.aclweb.org/anthology/D19-1638.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, task-condlm, task-seq2seq | 0 | Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning | Toru Nishino, Shotaro Misawa, Ryuji Kano, Tomoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma | https://www.aclweb.org/anthology/D19-1315.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, nondif-reinforce, task-extractive, task-lm, task-seq2seq | 0 | Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning | Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung | https://www.aclweb.org/anthology/D19-1303.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-att, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, loss-nce, task-seqlab, task-relation, task-alignment | 0 | Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing | Tao Meng, Nanyun Peng, Kai-Wei Chang | https://www.aclweb.org/anthology/D19-1103.pdf |
| 2019 | EMNLP | # arch-cnn, arch-coverage, task-seqlab, task-relation, task-tree | 0 | What’s Wrong with Hebrew NLP? And How to Make it Right | Reut Tsarfaty, Shoval Sadde, Stav Klein, Amit Seker | https://www.aclweb.org/anthology/D19-3044.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 0 | Core Semantic First: A Top-down Approach for AMR Parsing | Deng Cai, Wai Lam | https://www.aclweb.org/anthology/D19-1393.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-att, arch-coverage, comb-ensemble, pre-bert, task-extractive, task-seq2seq | 0 | Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization | Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard Hovy | https://www.aclweb.org/anthology/D19-1327.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq, task-graph | 0 | Enhancing AMR-to-Text Generation with Dual Graph Representations | Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1314.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, nondif-reinforce, task-spanlab, task-condlm, task-seq2seq | 0 | Let’s Ask Again: Refine Network for Automatic Question Generation | Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran | https://www.aclweb.org/anthology/D19-1326.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq | 0 | Encode, Tag, Realize: High-Precision Text Editing | Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn | https://www.aclweb.org/anthology/D19-1510.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-skipthought, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Transfer Fine-Tuning: A BERT Case Study | Yuki Arase, Jun’ichi Tsujii | https://www.aclweb.org/anthology/D19-1542.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass | 0 | Label Embedding using Hierarchical Structure of Labels for Twitter Classification | Taro Miyazaki, Kiminobu Makino, Yuka Takei, Hiroki Okamoto, Jun Goto | https://www.aclweb.org/anthology/D19-1660.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-elmo, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semantic Role Labeling with Iterative Structure Refinement | Chunchuan Lyu, Shay B. Cohen, Ivan Titov | https://www.aclweb.org/anthology/D19-1099.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilinear, arch-coverage, arch-subword, pre-elmo, pre-bert, latent-vae, task-textpair, task-lm | 0 | Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders | Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum | https://www.aclweb.org/anthology/D19-1161.pdf |
| 2019 | EMNLP | # arch-coverage, pre-bert | 0 | In Plain Sight: Media Bias Through the Lens of Factual Reporting | Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, Lu Wang | https://www.aclweb.org/anthology/D19-1664.pdf |
| 2019 | EMNLP | # optim-adagrad, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq, task-graph | 0 | Concept Pointer Network for Abstractive Summarization | Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou | https://www.aclweb.org/anthology/D19-1304.pdf |
| 2019 | EMNLP | # train-mll, train-augment, arch-rnn, arch-cnn, arch-att, arch-coverage, arch-subword, pre-fasttext, task-relation | 0 | Weakly Supervised Multilingual Causality Extraction from Wikipedia | Chikara Hashimoto | https://www.aclweb.org/anthology/D19-1296.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze | 4 | Revealing the Dark Secrets of BERT | Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky | https://www.aclweb.org/anthology/D19-1445.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-bert, adv-examp, task-textpair, task-spanlab, task-lm, task-seq2seq, task-tree | 2 | CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text | Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton | https://www.aclweb.org/anthology/D19-1458.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-viterbi, struct-crf, task-seqlab | 1 | Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction | Shun Zheng, Wei Cao, Wei Xu, Jiang Bian | https://www.aclweb.org/anthology/D19-1032.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-cnn, arch-coverage, pre-glove, struct-cfg, task-lm | 0 | What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments | David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan | https://www.aclweb.org/anthology/D19-1289.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-elmo, task-textpair, task-seq2seq | 0 | Query-focused Scenario Construction | Su Wang, Greg Durrett, Katrin Erk | https://www.aclweb.org/anthology/D19-1273.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, arch-transformer, task-lm, task-seq2seq | 0 | Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset | Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik | https://www.aclweb.org/anthology/D19-1459.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, pre-glove, task-lm, task-seq2seq, task-graph | 0 | Sentence-Level Content Planning and Style Specification for Neural Text Generation | Xinyu Hua, Lu Wang | https://www.aclweb.org/anthology/D19-1055.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, 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, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator | Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow | https://www.aclweb.org/anthology/D19-1390.pdf |
| 2019 | EMNLP | # 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, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq | 1 | Neural Naturalist: Generating Fine-Grained Image Comparisons | Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge Belongie | https://www.aclweb.org/anthology/D19-1065.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-examp, adv-train, task-textpair, task-lm | 0 | A Logic-Driven Framework for Consistency of Neural Models | Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar | https://www.aclweb.org/anthology/D19-1405.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-elmo, task-textclass, task-lm | 0 | Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data | Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef, Mona Diab | https://www.aclweb.org/anthology/D19-1460.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # arch-att, arch-coverage, pre-word2vec | 0 | A Dataset of General-Purpose Rebuttal | Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim | https://www.aclweb.org/anthology/D19-1561.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Detecting and Reducing Bias in a High Stakes Domain | Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown | https://www.aclweb.org/anthology/D19-1483.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-spanlab, task-lm, task-seq2seq, task-cloze | 1 | Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs | Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes | https://www.aclweb.org/anthology/D19-1428.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, latent-topic, task-textclass, task-seqlab | 0 | Interpretable Relevant Emotion Ranking with Event-Driven Attention | Yang Yang, Deyu Zhou, Yulan He, Meng Zhang | https://www.aclweb.org/anthology/D19-1017.pdf |
| 2019 | EMNLP | # arch-coverage, pre-bert, loss-nce, task-textpair, task-spanlab | 5 | Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets | Mor Geva, Yoav Goldberg, Jonathan Berant | https://www.aclweb.org/anthology/D19-1107.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-coverage, comb-ensemble, pre-word2vec, struct-crf, task-textclass | 0 | Coverage of Information Extraction from Sentences and Paragraphs | Simon Razniewski, Nitisha Jain, Paramita Mirza, Gerhard Weikum | https://www.aclweb.org/anthology/D19-1583.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-elmo, pre-bert, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq, task-cloze | 6 | Text Summarization with Pretrained Encoders | Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/D19-1387.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-seqlab, task-relation | 0 | Talk2Car: Taking Control of Your Self-Driving Car | Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens | https://www.aclweb.org/anthology/D19-1215.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-att, arch-copy, arch-coverage, task-seq2seq, task-tree | 0 | NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions | Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim | https://www.aclweb.org/anthology/D19-1262.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-coverage | 0 | Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts | Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O’Connor, Mohit Iyyer | https://www.aclweb.org/anthology/D19-1666.pdf |
| 2019 | EMNLP | # train-transfer, train-augment, arch-att, arch-copy, arch-coverage, arch-transformer, task-seq2seq | 0 | Abstract Text Summarization: A Low Resource Challenge | Shantipriya Parida, Petr Motlicek | https://www.aclweb.org/anthology/D19-1616.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-cloze | 3 | Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs | Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic, Samuel R. Bowman | https://www.aclweb.org/anthology/D19-1286.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, arch-coverage, pre-bert, nondif-reinforce, latent-vae, task-spanlab, task-tree | 2 | A Discrete Hard EM Approach for Weakly Supervised Question Answering | Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1284.pdf |
| 2019 | EMNLP | # optim-adam, 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-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, task-seq2seq, task-graph | 2 | VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling | Andrea Di Fabio, Simone Conia, Roberto Navigli | https://www.aclweb.org/anthology/D19-1058.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, struct-cfg, task-lm, task-seq2seq, task-cloze, task-tree | 0 | Tree Transformer: Integrating Tree Structures into Self-Attention | Yaushian Wang, Hung-Yi Lee, Yun-Nung Chen | https://www.aclweb.org/anthology/D19-1098.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att, arch-coverage, pre-glove, pre-bert, latent-topic, task-spanlab | 1 | Question Answering for Privacy Policies: Combining Computational and Legal Perspectives | Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton, Norman Sadeh | https://www.aclweb.org/anthology/D19-1500.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, train-mtl, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-coverage, pre-word2vec, latent-topic, task-spanlab, task-seq2seq | 0 | A Neural Citation Count Prediction Model based on Peer Review Text | Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen | https://www.aclweb.org/anthology/D19-1497.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-coverage, pre-glove, pre-elmo, task-lm, task-seq2seq, task-alignment | 0 | Recursive Context-Aware Lexical Simplification | Sian Gooding, Ekaterina Kochmar | https://www.aclweb.org/anthology/D19-1491.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, pre-use, adv-train, loss-cca, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze | 0 | Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection | Nina Poerner, Hinrich Schütze | https://www.aclweb.org/anthology/D19-1173.pdf |
| 2019 | EMNLP | # train-active, arch-coverage | 0 | MAssistant: A Personal Knowledge Assistant for MOOC Learners | Lan Jiang, Shuhan Hu, Mingyu Huang, Zhichun Wang, Jinjian Yang, Xiaoju Ye, Wei Zheng | https://www.aclweb.org/anthology/D19-3023.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-spanlab, task-seq2seq, task-tree | 0 | Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs | Zhibin Liu, Zheng-Yu Niu, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/D19-1187.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm | 0 | Neural Duplicate Question Detection without Labeled Training Data | Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1171.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-lm, task-condlm, task-seq2seq | 1 | Mixture Content Selection for Diverse Sequence Generation | Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/D19-1308.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, loss-nce, task-extractive, task-lm | 0 | Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization | Daniel Deutsch, Dan Roth | https://www.aclweb.org/anthology/D19-1386.pdf |
| 2019 | NAA-CL | # arch-bilinear, arch-coverage, comb-ensemble, pre-word2vec, pre-glove, task-seqlab, task-seq2seq | 0 | What just happened? Evaluating retrofitted distributional word vectors | Dmetri Hayes | https://www.aclweb.org/anthology/N19-1111.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, optim-adadelta, reg-decay, arch-lstm, arch-recnn, arch-treelstm, arch-att, arch-coverage, search-beam, pre-glove, struct-cfg, nondif-reinforce, latent-vae, task-textpair, task-lm, task-condlm | 5 | Cooperative Learning of Disjoint Syntax and Semantics | Serhii Havrylov, Germán Kruszewski, Armand Joulin | https://www.aclweb.org/anthology/N19-1115.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-coverage, pre-word2vec, struct-crf, latent-vae, loss-nce, task-seqlab, task-relation | 0 | Neural Chinese Address Parsing | Hao Li, Wei Lu, Pengjun Xie, Linlin Li | https://www.aclweb.org/anthology/N19-1346.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, arch-rnn, arch-att, arch-coverage, arch-subword, nondif-straightthrough, task-seq2seq | 1 | Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders | Cory Shain, Micha Elsner | https://www.aclweb.org/anthology/N19-1007.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, search-beam, pre-glove, nondif-reinforce, latent-vae, task-seq2seq, task-tree | 4 | UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering | Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku | https://www.aclweb.org/anthology/N19-1031.pdf |
| 2019 | NAA-CL | # 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-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, struct-crf, task-textclass, task-lm, task-seq2seq | 5 | Improving Lemmatization of Non-Standard Languages with Joint Learning | Enrique Manjavacas, Ákos Kádár, Mike Kestemont | https://www.aclweb.org/anthology/N19-1153.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-glove, pre-elmo, task-textpair, task-lm, task-condlm, task-seq2seq, task-tree | 1 | Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting | J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme | https://www.aclweb.org/anthology/N19-1090.pdf |
| 2019 | NAA-CL | # optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, search-beam | 19 | MuST-C: a Multilingual Speech Translation Corpus | Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, Marco Turchi | https://www.aclweb.org/anthology/N19-1202.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, train-parallel, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-tree | 0 | Understanding and Improving Hidden Representations for Neural Machine Translation | Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi | https://www.aclweb.org/anthology/N19-1046.pdf |
| 2019 | NAA-CL | # optim-adam, train-active, arch-coverage, comb-ensemble, struct-hmm, struct-crf, task-textclass, task-seqlab | 2 | Active Learning for New Domains in Natural Language Understanding | Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas | https://www.aclweb.org/anthology/N19-2012.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mll, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, struct-crf, latent-vae, loss-svd, task-seqlab, task-lm | 1 | Misspelling Oblivious Word Embeddings | Aleksandra Piktus, Necati Bora Edizel, Piotr Bojanowski, Edouard Grave, Rui Ferreira, Fabrizio Silvestri | https://www.aclweb.org/anthology/N19-1326.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-seq2seq, task-tree | 1 | PoMo: Generating Entity-Specific Post-Modifiers in Context | Jun Seok Kang, Robert Logan, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian | https://www.aclweb.org/anthology/N19-1089.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, arch-cnn, arch-coverage, nondif-gumbelsoftmax, latent-topic, task-textclass, task-seq2seq | 1 | Cross-Topic Distributional Semantic Representations Via Unsupervised Mappings | Eleftheria Briakou, Nikos Athanasiou, Alexandros Potamianos | https://www.aclweb.org/anthology/N19-1110.pdf |
| 2019 | NAA-CL | # reg-dropout, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq | 3 | How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection | Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang | https://www.aclweb.org/anthology/N19-1352.pdf |
| 2019 | NAA-CL | # optim-adam, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, task-textclass, task-spanlab, task-lm, task-cloze | 19 | BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis | Hu Xu, Bing Liu, Lei Shu, Philip Yu | https://www.aclweb.org/anthology/N19-1242.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, task-lm | 3 | Recursive Routing Networks: Learning to Compose Modules for Language Understanding | Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen | https://www.aclweb.org/anthology/N19-1365.pdf |
| 2019 | NAA-CL | # optim-adam, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, search-beam, task-lm, task-seq2seq, task-alignment | 3 | Curriculum Learning for Domain Adaptation in Neural Machine Translation | Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh | https://www.aclweb.org/anthology/N19-1189.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm | 3 | Mining Discourse Markers for Unsupervised Sentence Representation Learning | Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller | https://www.aclweb.org/anthology/N19-1351.pdf |
| 2019 | NAA-CL | # optim-adam, arch-att, arch-coverage, search-beam, task-seq2seq | 0 | Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting | Yichao Lu, Manisha Srivastava, Jared Kramer, Heba Elfardy, Andrea Kahn, Song Wang, Vikas Bhardwaj | https://www.aclweb.org/anthology/N19-2007.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-rnn, arch-lstm, arch-coverage, search-beam, task-lm, task-tree | 6 | Structural Supervision Improves Learning of Non-Local Grammatical Dependencies | Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy | https://www.aclweb.org/anthology/N19-1334.pdf |
| 2019 | NAA-CL | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, arch-subword, search-beam, search-viterbi, struct-crf, latent-topic, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Incorporating Word Attention into Character-Based Word Segmentation | Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto, Isaac Okada | https://www.aclweb.org/anthology/N19-1276.pdf |
| 2019 | NAA-CL | # init-glorot, reg-dropout, reg-worddropout, arch-cnn, arch-att, arch-coverage, pre-glove, latent-topic, task-textpair, task-seq2seq, task-relation, task-tree | 1 | No Permanent Friends or Enemies: Tracking Relationships between Nations from News | Xiaochuang Han, Eunsol Choi, Chenhao Tan | https://www.aclweb.org/anthology/N19-1167.pdf |
| 2019 | NAA-CL | # optim-adam, pool-max, arch-lstm, arch-coverage, pre-word2vec, struct-crf, task-seqlab | 1 | TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy | Lin Sun, Kai Zhang, Fule Ji, Zhenhua Yang | https://www.aclweb.org/anthology/N19-2022.pdf |
| 2019 | NAA-CL | # optim-adam, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-relation | 51 | Linguistic Knowledge and Transferability of Contextual Representations | Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith | https://www.aclweb.org/anthology/N19-1112.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, pre-bert, adv-examp, adv-train, task-textclass, task-condlm, task-seq2seq | 3 | Adversarial Training for Weakly Supervised Event Detection | Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li | https://www.aclweb.org/anthology/N19-1105.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-word2vec, pre-glove, pre-elmo, latent-vae, task-lm, task-seq2seq | 4 | In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data | Nishant Prateek, Mateusz Łajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood | https://www.aclweb.org/anthology/N19-2026.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, arch-coverage, struct-crf | 4 | Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media | Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James Glass, Preslav Nakov | https://www.aclweb.org/anthology/N19-1216.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, latent-vae, loss-nce, task-seq2seq | 0 | Learning to Decipher Hate Symbols | Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang | https://www.aclweb.org/anthology/N19-1305.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, train-augment, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, task-seq2seq, task-tree | 1 | Iterative Search for Weakly Supervised Semantic Parsing | Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard Hovy | https://www.aclweb.org/anthology/N19-1273.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-glove, task-textclass | 0 | Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture | Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama | https://www.aclweb.org/anthology/N19-1318.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, struct-crf, task-textpair, task-seq2seq, task-tree | 1 | Open Information Extraction from Question-Answer Pairs | Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy, H. V. Jagadish | https://www.aclweb.org/anthology/N19-1239.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-fasttext, loss-svd, task-condlm | 2 | AudioCaps: Generating Captions for Audios in The Wild | Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim | https://www.aclweb.org/anthology/N19-1011.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-extractive, task-lm, task-seq2seq, task-relation | 6 | Guiding Extractive Summarization with Question-Answering Rewards | Kristjan Arumae, Fei Liu | https://www.aclweb.org/anthology/N19-1264.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, arch-transformer, pre-word2vec, pre-elmo, pre-bert, pre-use, task-textpair, task-seq2seq, task-tree | 4 | Evaluating Coherence in Dialogue Systems using Entailment | Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, Osmar Zaiane | https://www.aclweb.org/anthology/N19-1381.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq | 2 | Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition | Angli Liu, Jingfei Du, Veselin Stoyanov | https://www.aclweb.org/anthology/N19-1117.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-bilstm, arch-coverage, loss-nce | 2 | A Crowdsourced Frame Disambiguation Corpus with Ambiguity | Anca Dumitrache, Lora Aroyo, Chris Welty | https://www.aclweb.org/anthology/N19-1224.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-paravec, pre-skipthought, loss-svd, task-seq2seq | 0 | Automatic learner summary assessment for reading comprehension | Menglin Xia, Ekaterina Kochmar, Ted Briscoe | https://www.aclweb.org/anthology/N19-1261.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, init-glorot, reg-dropout, reg-stopping, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, struct-crf, task-seqlab, task-lm, task-tree, task-graph | 8 | Text Generation from Knowledge Graphs with Graph Transformers | Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/N19-1238.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, task-lm, task-seq2seq, task-tree, task-graph | 3 | Neural Text Generation from Rich Semantic Representations | Valerie Hajdik, Jan Buys, Michael Wayne Goodman, Emily M. Bender | https://www.aclweb.org/anthology/N19-1235.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-stopping, train-mtl, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, search-viterbi, pre-glove, struct-crf, task-relation, task-tree, task-alignment | 2 | Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling | Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen | https://www.aclweb.org/anthology/N19-1259.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, struct-crf | 0 | Subword-Level Language Identification for Intra-Word Code-Switching | Manuel Mager, Özlem Çetinoğlu, Katharina Kann | https://www.aclweb.org/anthology/N19-1201.pdf |
| 2019 | NAA-CL | # optim-adam, optim-adagrad, arch-lstm, arch-att, arch-coverage, search-beam, task-extractive, task-seq2seq, task-tree | 4 | Question Answering as an Automatic Evaluation Metric for News Article Summarization | Matan Eyal, Tal Baumel, Michael Elhadad | https://www.aclweb.org/anthology/N19-1395.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-glove, pre-elmo, pre-use, task-textclass, task-relation, task-tree | 0 | Outlier Detection for Improved Data Quality and Diversity in Dialog Systems | Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars | https://www.aclweb.org/anthology/N19-1051.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, activ-relu, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, task-textclass, task-lm | 3 | Understanding language-elicited EEG data by predicting it from a fine-tuned language model | Dan Schwartz, Tom Mitchell | https://www.aclweb.org/anthology/N19-1005.pdf |
| 2019 | NAA-CL | # optim-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 | # reg-stopping, reg-patience, train-augment, arch-gru, arch-att, arch-coverage, task-seq2seq | 1 | Training Data Augmentation for Context-Sensitive Neural Lemmatizer Using Inflection Tables and Raw Text | Toms Bergmanis, Sharon Goldwater | https://www.aclweb.org/anthology/N19-1418.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, norm-layer, train-augment, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-word2vec, task-seq2seq, task-tree, task-graph | 2 | Factorising AMR generation through syntax | Kris Cao, Stephen Clark | https://www.aclweb.org/anthology/N19-1223.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, struct-crf, adv-examp, task-textpair, task-lm, task-condlm, task-seq2seq, task-alignment | 9 | PAWS: Paraphrase Adversaries from Word Scrambling | Yuan Zhang, Jason Baldridge, Luheng He | https://www.aclweb.org/anthology/N19-1131.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-seq2seq | 3 | Incorporating Context and External Knowledge for Pronoun Coreference Resolution | Hongming Zhang, Yan Song, Yangqiu Song | https://www.aclweb.org/anthology/N19-1093.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-coverage, arch-energy, struct-crf, task-seq2seq | 1 | Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation | Nikolai Vogler, Craig Stewart, Graham Neubig | https://www.aclweb.org/anthology/N19-1010.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq | 2 | One Size Does Not Fit All: Comparing NMT Representations of Different Granularities | Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov | https://www.aclweb.org/anthology/N19-1154.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, task-seq2seq | 9 | Selective Attention for Context-aware Neural Machine Translation | Sameen Maruf, André F. T. Martins, Gholamreza Haffari | https://www.aclweb.org/anthology/N19-1313.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-coverage, adv-examp, task-textclass, task-textpair, task-spanlab, task-seq2seq | 10 | Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets | Nelson F. Liu, Roy Schwartz, Noah A. Smith | https://www.aclweb.org/anthology/N19-1225.pdf |
| 2019 | NAA-CL | # arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, pre-skipthought, pre-use, task-textpair | 0 | Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings | Gijs Wijnholds, Mehrnoosh Sadrzadeh | https://www.aclweb.org/anthology/N19-1023.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, struct-crf, task-seqlab | 1 | Neural Lexicons for Slot Tagging in Spoken Language Understanding | Kyle Williams | https://www.aclweb.org/anthology/N19-2011.pdf |
| 2019 | NAA-CL | # arch-coverage, search-beam, struct-cfg, task-tree | 1 | Implementation of a Chomsky-Schützenberger n-best parser for weighted multiple context-free grammars | Thomas Ruprecht, Tobias Denkinger | https://www.aclweb.org/anthology/N19-1016.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-recnn, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-fasttext, adv-train, task-seq2seq | 3 | Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages | Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/N19-1387.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-decay, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze | 3209 | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova | https://www.aclweb.org/anthology/N19-1423.pdf |