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ORCIDEMNLP 2020: Online
- Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-60-6 - Yohan Jo, Seojin Bang, Emaad A. Manzoor, Eduard H. Hovy, Chris Reed:
Detecting Attackable Sentences in Arguments. 1-23 - Yohan Jo, Jacky Visser
, Chris Reed, Eduard H. Hovy:
Extracting Implicitly Asserted Propositions in Argumentation. 24-38 - Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim:
Quantitative argument summarization and beyond: Cross-domain key point analysis. 39-49 - Jonathan Kobbe, Ioana Hulpus, Heiner Stuckenschmidt:
Unsupervised stance detection for arguments from consequences. 50-60 - Markus Freitag, David Grangier, Isaac Caswell:
BLEU might be Guilty but References are not Innocent. 61-71 - Yvette Graham, Barry Haddow, Philipp Koehn:
Statistical Power and Translationese in Machine Translation Evaluation. 72-81 - Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn:
Simulated multiple reference training improves low-resource machine translation. 82-89 - Brian Thompson, Matt Post:
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing. 90-121 - Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal:
PRover: Proof Generation for Interpretable Reasoning over Rules. 122-136 - Harsh Jhamtani, Peter Clark:
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering. 137-150 - Pratyay Banerjee, Chitta Baral:
Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering. 151-162 - Daniel Khashabi, Tushar Khot, Ashish Sabharwal:
More Bang for Your Buck: Natural Perturbation for Robust Question Answering. 163-170 - Ilia Kuznetsov, Iryna Gurevych:
A matter of framing: The impact of linguistic formalism on probing results. 171-182 - Elena Voita, Ivan Titov:
Information-Theoretic Probing with Minimum Description Length. 183-196 - Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell:
Intrinsic Probing through Dimension Selection. 197-216 - Alex Warstadt, Yian Zhang, Xiaocheng Li, Haokun Liu, Samuel R. Bowman:
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). 217-235 - Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen:
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. 236-255 - Fabio Massimo Zanzotto, Andrea Santilli, Leonardo Ranaldi, Dario Onorati, Pierfrancesco Tommasino, Francesca Fallucchi:
KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations. 256-267 - Joshua Ainslie, Santiago Ontañón, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang:
ETC: Encoding Long and Structured Inputs in Transformers. 268-284 - Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
Pre-Training Transformers as Energy-Based Cloze Models. 285-294 - Shrey Desai, Greg Durrett:
Calibration of Pre-trained Transformers. 295-302 - Jiaming Shen, Heng Ji, Jiawei Han:
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. 303-313 - Emily Dinan, Angela Fan, Ledell Wu, Jason Weston, Douwe Kiela, Adina Williams:
Multi-Dimensional Gender Bias Classification. 314-331 - Piyawat Lertvittayakumjorn, Lucia Specia, Francesca Toni:
FIND: Human-in-the-Loop Debugging Deep Text Classifiers. 332-348 - Jatin Ganhotra, Haggai Roitman, Doron Cohen, Nathaniel Mills, R. Chulaka Gunasekara, Yosi Mass, Sachindra Joshi, Luis A. Lastras, David Konopnicki:
Conversational Document Prediction to Assist Customer Care Agents. 349-356 - Brielen Madureira, David Schlangen:
Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU. 357-374 - Ben Athiwaratkun, Cícero Nogueira dos Santos, Jason Krone, Bing Xiang:
Augmented Natural Language for Generative Sequence Labeling. 375-385 - Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan:
Dialogue Response Ranking Training with Large-Scale Human Feedback Data. 386-395 - Ruiqi Zhong, Tao Yu, Dan Klein:
Semantic Evaluation for Text-to-SQL with Distilled Test Suites. 396-411 - Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang:
Cross-Thought for Sentence Encoder Pre-training. 412-421 - Silei Xu, Sina J. Semnani, Giovanni Campagna, Monica S. Lam:
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data. 422-434 - Kexiang Wang, Baobao Chang, Zhifang Sui:
A Spectral Method for Unsupervised Multi-Document Summarization. 435-445 - Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang:
What Have We Achieved on Text Summarization? 446-469 - Ryosuke Kohita, Akifumi Wachi, Yang Zhao, Ryuki Tachibana:
Q-learning with Language Model for Edit-based Unsupervised Summarization. 470-484 - Zhengjue Wang, Zhibin Duan, Hao Zhang, Chaojie Wang, Long Tian, Bo Chen, Mingyuan Zhou:
Friendly Topic Assistant for Transformer Based Abstractive Summarization. 485-497 - Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, Jingjing Liu:
Contrastive Distillation on Intermediate Representations for Language Model Compression. 498-508 - Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. 509-521 - Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum:
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. 522-534 - Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime G. Carbonell:
Efficient Meta Lifelong-Learning with Limited Memory. 535-548 - Phillip Keung, Yichao Lu, Julian Salazar, Vikas Bhardwaj:
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings. 549-554 - Masaaki Nagata, Katsuki Chousa, Masaaki Nishino:
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT. 555-565 - Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu:
Accurate Word Alignment Induction from Neural Machine Translation. 566-576 - Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization. 577-595 - Anjalie Field, Yulia Tsvetkov:
Unsupervised Discovery of Implicit Gender Bias. 596-608 - Naitian Zhou, David Jurgens:
Condolence and Empathy in Online Communities. 609-626 - Gregory Spell, Brian Guay, Sunshine Hillygus, Lawrence Carin:
An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets. 627-641 - Matthew Sims, David Bamman:
Measuring Information Propagation in Literary Social Networks. 642-652 - Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi:
Social Chemistry 101: Learning to Reason about Social and Moral Norms. 653-670 - Xinya Du, Claire Cardie:
Event Extraction by Answering (Almost) Natural Questions. 671-683 - Manling Li, Qi Zeng, Ying Lin, Kyunghyun Cho, Heng Ji, Jonathan May, Nathanael Chambers, Clare R. Voss:
Connecting the Dots: Event Graph Schema Induction with Path Language Modeling. 684-695 - Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth:
Joint Constrained Learning for Event-Event Relation Extraction. 696-706 - Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang:
Incremental Event Detection via Knowledge Consolidation Networks. 707-717 - Lifu Huang, Heng Ji:
Semi-supervised New Event Type Induction and Event Detection. 718-724 - Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang:
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. 725-736 - Kalpesh Krishna, John Wieting, Mohit Iyyer:
Reformulating Unsupervised Style Transfer as Paraphrase Generation. 737-762 - Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu:
De-Biased Court's View Generation with Causality. 763-780 - Xinyu Hua, Lu Wang:
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. 781-793 - Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi:
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. 794-805 - Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James M. Rehg, Stefan Lee, Peter Anderson:
Where Are You? Localization from Embodied Dialog. 806-822 - Bowen Zhang, Hexiang Hu, Vihan Jain, Eugene Ie, Fei Sha:
Learning to Represent Image and Text with Denotation Graph. 823-839 - Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. 840-860 - Jack Hessel, Lillian Lee:
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think! 861-877 - Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. 878-892 - Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. 893-903 - Hyunwoo Kim, Byeongchang Kim, Gunhee Kim:
Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness. 904-916 - Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong:
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue. 917-929 - Jun Quan, Shian Zhang, Qian Cao, Zizhong Li, Deyi Xiong:
RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling. 930-940 - Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. 941-958 - Yugo Murawaki:
Latent Geographical Factors for Analyzing the Evolution of Dialects in Contact. 959-976 - Shiva Upadhye, Leon Bergen, Andrew Kehler:
Predicting Reference: What do Language Models Learn about Discourse Models? 977-982 - Bai Li, Guillaume Thomas, Yang Xu, Frank Rudzicz:
Word class flexibility: A deep contextualized approach. 983-994 - Bei Li, Ziyang Wang, Hui Liu, Yufan Jiang, Quan Du, Tong Xiao, Huizhen Wang, Jingbo Zhu:
Shallow-to-Deep Training for Neural Machine Translation. 995-1005 - Jason Lee, Raphael Shu, Kyunghyun Cho:
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation. 1006-1015 - Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu:
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. 1016-1021 - Yiren Wang, ChengXiang Zhai, Hany Hassan:
Multi-task Learning for Multilingual Neural Machine Translation. 1022-1034 - Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu:
Token-level Adaptive Training for Neural Machine Translation. 1035-1046 - Jianhao Yan, Fandong Meng, Jie Zhou:
Multi-Unit Transformers for Neural Machine Translation. 1047-1059 - Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu:
On the Sparsity of Neural Machine Translation Models. 1060-1066 - Xiang Kong, Zhisong Zhang, Eduard H. Hovy:
Incorporating a Local Translation Mechanism into Non-autoregressive Translation. 1067-1073 - Yu Wan, Baosong Yang, Derek F. Wong, Yikai Zhou, Lidia S. Chao, Haibo Zhang, Boxing Chen:
Self-Paced Learning for Neural Machine Translation. 1074-1080 - Pei Zhang, Boxing Chen, Niyu Ge, Kai Fan:
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation. 1081-1087 - Xuanfu Wu, Yang Feng, Chenze Shao:
Generating Diverse Translation from Model Distribution with Dropout. 1088-1097 - Chitwan Saharia, William Chan, Saurabh Saxena, Mohammad Norouzi:
Non-Autoregressive Machine Translation with Latent Alignments. 1098-1108 - Miyoung Ko, Jinhyuk Lee, Hyunjae Kim, Gangwoo Kim, Jaewoo Kang:
Look at the First Sentence: Position Bias in Question Answering. 1109-1121 - Michael Boratko, Xiang Li, Tim O'Gorman, Rajarshi Das, Dan Le, Andrew McCallum:
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. 1122-1136 - James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi:
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. 1137-1147 - Steven J. Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, Vaibhava Goel:
Unsupervised Adaptation of Question Answering Systems via Generative Self-training. 1148-1157 - Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth:
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. 1158-1172 - Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das:
ToTTo: A Controlled Table-To-Text Generation Dataset. 1173-1186 - Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si:
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. 1187-1197 - Li Zhang, Huaiyu Zhu, Siddhartha Brahma, Yunyao Li:
Small but Mighty: New Benchmarks for Split and Rephrase. 1198-1205 - Xuefeng Bai, Linfeng Song, Yue Zhang:
Online Back-Parsing for AMR-to-Text Generation. 1206-1219 - Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan W. Black:
Reading Between the Lines: Exploring Infilling in Visual Narratives. 1220-1229 - Rajat Agarwal, Katharina Kann:
Acrostic Poem Generation. 1230-1240 - Jiaao Chen, Zhenghui Wang, Ran Tian, Zichao Yang, Diyi Yang:
Local Additivity Based Data Augmentation for Semi-supervised NER. 1241-1251 - Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith:
Grounded Compositional Outputs for Adaptive Language Modeling. 1252-1267 - Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi:
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness. 1268-1283 - Yang Gao, Yi-Fan Li, Yu Lin, Charu C. Aggarwal, Latifur Khan:
SetConv: A New Approach for Learning from Imbalanced Data. 1284-1294 - Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren:
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. 1295-1309 - Jiaji Huang, Xingyu Cai, Kenneth Church:
Improving Bilingual Lexicon Induction for Low Frequency Words. 1310-1314 - Runzhi Tian, Yongyi Mao, Richong Zhang:
Learning VAE-LDA Models with Rounded Reparameterization Trick. 1315-1325 - Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang:
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. 1326-1340 - Justin T. Chiu, Alexander M. Rush:
Scaling Hidden Markov Language Models. 1341-1349 - Abdul Rafae Khan, Jia Xu, Weiwei Sun:
Coding Textual Inputs Boosts the Accuracy of Neural Networks. 1350-1360 - Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters:
Learning from Task Descriptions. 1361-1375 - Keyang Ding, Jing Li, Yuji Zhang:
Hashtags, Emotions, and Comments: A Large-Scale Dataset to Understand Fine-Grained Social Emotions to Online Topics. 1376-1382 - Yuyang Nie, Yuanhe Tian, Xiang Wan, Yan Song, Bo Dai:
Named Entity Recognition for Social Media Texts with Semantic Augmentation. 1383-1391 - Jianfei Yu, Jing Jiang, Ling Min Serena Khoo, Hai Leong Chieu, Rui Xia:
Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations. 1392-1401 - Rupak Sarkar, Sayantan Mahinder, Hirak Sarkar, Ashiqur R. KhudaBukhsh:
Social Media Attributions in the Context of Water Crisis. 1402-1412 - Indira Sen, Fabian Flöck, Claudia Wagner:
On the Reliability and Validity of Detecting Approval of Political Actors in Tweets. 1413-1426 - Dongfang Li, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang:
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text. 1427-1438 - Zhihong Chen, Yan Song, Tsung-Hui Chang, Xiang Wan:
Generating Radiology Reports via Memory-driven Transformer. 1439-1449 - Jingfeng Yang, Diyi Yang, Zhaoran Ma:
Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection. 1450-1460 - Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang:
Predicting Clinical Trial Results by Implicit Evidence Integration. 1461-1477 - Jinyue Feng, Chantal Shaib, Frank Rudzicz:
Explainable Clinical Decision Support from Text. 1478-1489 - Jinghui Yan, Yining Wang, Lu Xiang, Yu Zhou, Chengqing Zong:
A Knowledge-driven Generative Model for Multi-implication Chinese Medical Procedure Entity Normalization. 1490-1499