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ORCIDNAACL-HLT 2021: Online
- Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-46-6
- Shuai Zhang, Xi Rao, Yi Tay, Ce Zhang:
Knowledge Router: Learning Disentangled Representations for Knowledge Graphs. 1-10 - Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors. 11-26 - Minh Van Nguyen, Viet Dac Lai, Thien Huu Nguyen:
Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks. 27-38 - Zixuan Zhang, Heng Ji:
Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction. 39-49 - Zexuan Zhong, Danqi Chen:
A Frustratingly Easy Approach for Entity and Relation Extraction. 50-61 - Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth:
Event Time Extraction and Propagation via Graph Attention Networks. 62-73 - Hongfei Xu
, Josef van Genabith, Qiuhui Liu, Deyi Xiong:
Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers. 74-85 - Aviv Slobodkin, Leshem Choshen, Omri Abend:
Mediators in Determining what Processing BERT Performs First. 86-93 - Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad:
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA. 94-105 - Nora Hollenstein, Federico Pirovano, Ce Zhang, Lena A. Jäger, Lisa Beinborn:
Multilingual Language Models Predict Human Reading Behavior. 106-123 - Rowan Hall Maudslay, Ryan Cotterell:
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing. 124-131 - Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell:
A Non-Linear Structural Probe. 132-138 - Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh:
Concealed Data Poisoning Attacks on NLP Models. 139-150 - Vilém Zouhar, Michal Novák, Matús Zilinec, Ondrej Bojar, Mateo Obregón, Robin L. Hill, Frédéric Blain, Marina Fomicheva, Lucia Specia, Lisa Yankovskaya:
Backtranslation Feedback Improves User Confidence in MT, Not Quality. 151-161 - Christian Herold, Jan Rosendahl, Joris Vanvinckenroye, Hermann Ney:
Data Filtering using Cross-Lingual Word Embeddings. 162-172 - Alexandra Chronopoulou, Dario Stojanovski, Alexander Fraser:
Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation. 173-180 - Uri Shaham, Omer Levy:
Neural Machine Translation without Embeddings. 181-186 - Qi Liu, Matt J. Kusner, Phil Blunsom:
Counterfactual Data Augmentation for Neural Machine Translation. 187-197 - Nikzad Khani, Isidora Chara Tourni, Mohammad Sadegh Rasooli, Chris Callison-Burch, Derry Tanti Wijaya:
Cultural and Geographical Influences on Image Translatability of Words across Languages. 198-209 - Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Saloni Potdar, Mo Yu:
Multilingual BERT Post-Pretraining Alignment. 210-219 - Amir Hadifar, Sofie Labat, Véronique Hoste, Chris Develder, Thomas Demeester:
A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks. 220-225 - Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, Nikolaos Aletras, Ion Androutsopoulos, Prodromos Malakasiotis:
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases. 226-241 - Ohad Rozen, David Carmel, Avihai Mejer, Vitaly Mirkis, Yftah Ziser:
Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products. 242-253 - Lucia Pagani:
EnSidNet: Enhanced Hybrid Siamese-Deep Network for grouping clinical trials into drug-development pathways. 254-266 - Andrei Manolache, Florin Brad, Elena Burceanu:
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers. 267-277 - Nadezhda Chirkova, Sergey Troshin:
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code. 278-288 - Dingmin Wang, Chenghua Lin, Qi Liu, Kam-Fai Wong:
Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition. 289-295 - Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych:
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. 296-310 - Ohad Rubin, Jonathan Berant:
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing. 311-324 - Luigi Procopio, Rocco Tripodi, Roberto Navigli:
SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation. 325-337 - Simone Conia, Andrea Bacciu, Roberto Navigli:
Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources. 338-351 - Julian Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, Jordan L. Boyd-Graber:
Fool Me Twice: Entailment from Wikipedia Gamification. 352-365 - Bailin Wang, Mirella Lapata, Ivan Titov:
Meta-Learning for Domain Generalization in Semantic Parsing. 366-379 - Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Aspect-Controlled Neural Argument Generation. 380-396 - Jiangming Liu, Shay B. Cohen, Mirella Lapata:
Text Generation from Discourse Representation Structures. 397-415 - Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. 416-431 - Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
DART: Open-Domain Structured Data Record to Text Generation. 432-447 - Benjamin Müller, Antonios Anastasopoulos, Benoît Sagot, Djamé Seddah:
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models. 448-462 - Haozhou Wang, James Henderson, Paola Merlo:
Multi-Adversarial Learning for Cross-Lingual Word Embeddings. 463-472 - Xinyi Wang, Sebastian Ruder, Graham Neubig:
Multi-view Subword Regularization. 473-482 - Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, Colin Raffel:
mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer. 483-498 - Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah:
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. 499-511 - Jonathan Herzig, Thomas Müller, Syrine Krichene, Julian Eisenschlos:
Open Domain Question Answering over Tables via Dense Retrieval. 512-519 - Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, Shayne Longpre, Stephen Pulman, Srinivas Chappidi:
Open-Domain Question Answering Goes Conversational via Question Rewriting. 520-534 - Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec:
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. 535-546 - Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi:
XOR QA: Cross-lingual Open-Retrieval Question Answering. 547-564 - Tiancheng Zhao, Xiaopeng Lu, Kyusong Lee:
SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval. 565-575 - Michael Wiegand, Josef Ruppenhofer, Elisabeth Eder:
Implicitly Abusive Language - What does it actually look like and why are we not getting there? 576-587 - Dirk Hovy, Diyi Yang:
The Importance of Modeling Social Factors of Language: Theory and Practice. 588-602 - Dong Nguyen, Laura Rosseel, Jack Grieve:
On learning and representing social meaning in NLP: a sociolinguistic perspective. 603-612 - Emiel van Miltenburg, Chris van der Lee, Emiel Krahmer:
Preregistering NLP research. 613-623 - Tal Schuster, Adam Fisch, Regina Barzilay:
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence. 624-643 - Avijit Thawani, Jay Pujara, Filip Ilievski, Pedro A. Szekely:
Representing Numbers in NLP: a Survey and a Vision. 644-656 - Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Extending Multi-Document Summarization Evaluation to the Interactive Setting. 657-677 - Iftah Gamzu, Hila Gonen, Gilad Kutiel, Ran Levy, Eugene Agichtein:
Identifying Helpful Sentences in Product Reviews. 678-691 - Yang Liu, Sheng Shen, Mirella Lapata:
Noisy Self-Knowledge Distillation for Text Summarization. 692-703 - Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad:
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. 704-717 - Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang:
Enhancing Factual Consistency of Abstractive Summarization. 718-733 - Dian Yu, Luheng He, Yuan Zhang, Xinya Du, Panupong Pasupat, Qi Li:
Few-shot Intent Classification and Slot Filling with Retrieved Examples. 734-749 - Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
"Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses. 750-767 - Ashwin Paranjape, Christopher D. Manning:
Human-like informative conversations: Better acknowledgements using conditional mutual information. 768-781 - Jie Cao, Yi Zhang:
A Comparative Study on Schema-Guided Dialogue State Tracking. 782-796 - Jie Wu, Ian G. Harris, Hongzhi Zhao:
Spoken Language Understanding for Task-oriented Dialogue Systems with Augmented Memory Networks. 797-806 - Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston:
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. 807-833 - Yogarshi Vyas, Miguel Ballesteros:
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. 834-844 - Giannis Karamanolakis, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah:
Self-Training with Weak Supervision. 845-863 - Aman Madaan, Yiming Yang:
Neural Language Modeling for Contextualized Temporal Graph Generation. 864-881 - Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum:
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. 882-893 - Sha Li, Heng Ji, Jiawei Han:
Document-Level Event Argument Extraction by Conditional Generation. 894-908 - Xinya Du, Alexander M. Rush, Claire Cardie:
Template Filling with Generative Transformers. 909-914 - Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu:
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. 915-929 - Yuchen Bian, Jiaji Huang, Xingyu Cai, Jiahong Yuan, Kenneth Church:
On Attention Redundancy: A Comprehensive Study. 930-945 - Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace:
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? 946-959 - Victor Sanh, Alexander M. Rush:
Low-Complexity Probing via Finding Subnetworks. 960-966 - Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. 967-975 - Soham Dan, Michael Zhou, Dan Roth:
Generalization in Instruction Following Systems. 976-981 - Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, Jingjing Liu:
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval. 982-997 - Candace Ross, Boris Katz, Andrei Barbu:
Measuring Social Biases in Grounded Vision and Language Embeddings. 998-1008 - Jianing Yang, Yongxin Wang, Ruitao Yi, Yuying Zhu, Azaan Rehman, Amir Zadeh, Soujanya Poria, Louis-Philippe Morency:
MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences. 1009-1021 - Nancy Xu, Sam Masling, Michael Du, Giovanni Campagna, Larry Heck, James A. Landay, Monica Lam:
Grounding Open-Domain Instructions to Automate Web Support Tasks. 1022-1032 - Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modular Networks for Compositional Instruction Following. 1033-1040 - Jialu Li, Hao Tan, Mohit Bansal:
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information. 1041-1050 - Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu:
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. 1051-1062 - Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang:
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach. 1063-1077 - Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao:
Posterior Differential Regularization with f-divergence for Improving Model Robustness. 1078-1089 - Wenzheng Zhang, Karl Stratos:
Understanding Hard Negatives in Noise Contrastive Estimation. 1090-1101 - Wenjie Wang, Pengfei Tang, Jian Lou, Li Xiong:
Certified Robustness to Word Substitution Attack with Differential Privacy. 1102-1112 - Shikhar Murty, Tatsunori Hashimoto, Christopher D. Manning:
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference. 1113-1125 - Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh:
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages. 1126-1137 - Thamme Gowda, Weiqiu You, Constantine Lignos, Jonathan May:
Macro-Average: Rare Types Are Important Too. 1138-1157 - Sweta Agrawal, George F. Foster, Markus Freitag, Colin Cherry:
Assessing Reference-Free Peer Evaluation for Machine Translation. 1158-1171 - Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt:
The Curious Case of Hallucinations in Neural Machine Translation. 1172-1183 - Xavier Garcia, Noah Constant, Ankur P. Parikh, Orhan Firat:
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution. 1184-1192 - Yue Wang, Cuong Hoang, Marcello Federico:
Towards Modeling the Style of Translators in Neural Machine Translation. 1193-1199 - Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Self-Supervised Test-Time Learning for Reading Comprehension. 1200-1211 - Michael R. Glass, Mustafa Canim, Alfio Gliozzo, Saneem A. Chemmengath, Vishwajeet Kumar, Rishav Chakravarti, Avi Sil, Feifei Pan, Samarth Bharadwaj, Nicolas Rodolfo Fauceglia:
Capturing Row and Column Semantics in Transformer Based Question Answering over Tables. 1212-1224 - Zhengzhong Liang, Steven Bethard, Mihai Surdeanu:
Explainable Multi-hop Verbal Reasoning Through Internal Monologue. 1225-1250 - Jifan Chen, Greg Durrett:
Robust Question Answering Through Sub-part Alignment. 1251-1263 - Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. 1264-1279 - Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih:
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. 1280-1287 - Shayne Longpre, Yi Lu, Chris DuBois:
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering. 1288-1300 - Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville:
Understanding by Understanding Not: Modeling Negation in Language Models. 1301-1312 - Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal:
DuoRAT: Towards Simpler Text-to-SQL Models. 1313-1321 - Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Lorraine Li, Pavan Kapanipathi, Kartik Talamadupula:
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization. 1322-1336 - Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson:
Structure-Grounded Pretraining for Text-to-SQL. 1337-1350 - Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu:
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. 1351-1360 - Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth:
Temporal Reasoning on Implicit Events from Distant Supervision. 1361-1371 - James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang:
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. 1372-1379 - Jiaao Chen, Diyi Yang:
Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs. 1380-1391 - Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu:
A New Approach to Overgenerating and Scoring Abstractive Summaries. 1392-1404 - Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, Nancy Xin Ru Wang:
D2S: Document-to-Slide Generation Via Query-Based Text Summarization. 1405-1418 - Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang:
Efficient Attentions for Long Document Summarization. 1419-1436 - Yixin Liu, Zi-Yi Dou, Pengfei Liu:
RefSum: Refactoring Neural Summarization. 1437-1448 - Tanya Goyal, Greg Durrett:
Annotating and Modeling Fine-grained Factuality in Summarization. 1449-1462 - Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu:
Larger-Context Tagging: When and Why Does It Work? 1463-1475 - Yangming Li, Lemao Liu, Kaisheng Yao:
Neural Sequence Segmentation as Determining the Leftmost Segments. 1476-1486 - Songlin Yang, Yanpeng Zhao, Kewei Tu:
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols. 1487-1498