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TACL 2021: all accepted papers

93 papers · the most cited first · ← TACL 2021

  1. A Biologically Plausible ParserDaniel Mitropolsky, Michael J. Collins, Christos H. Papadimitriou
  2. A Computational Framework for Slang GenerationZhewei Sun, Richard Zemel, Yang Xu
  3. A Statistical Analysis of Summarization Evaluation Metrics Using Resampling MethodsDaniel Deutsch, Rotem Dror, Dan Rothour summary
  4. Adaptive Semiparametric Language ModelsDani Yogatama, Cyprien de Masson d'Autume, Lingpeng Kong
  5. Aligning Faithful Interpretations with their Social AttributionAlon Jacovi, Yoav Goldbergour summary
  6. Amnesic Probing: Behavioral Explanation with Amnesic CounterfactualsYanai Elazar, Shauli Ravfogel, Alon Jacovi et al.our summary
  7. An Error Analysis Framework for Shallow Surface RealizationAnastasia Shimorina, Yannick Parmentier, Claire Gardentour summary
  8. Augmenting Transformers with KNN-Based Composite Memory for DialogAngela Fan, Claire Gardent, Chloé Braud et al.
  9. Characterizing English Variation across Social Media Communities with BERTLi Lucy, David Bamman
  10. Classifying Argumentative Relations Using Logical Mechanisms and Argumentation SchemesYohan Jo, Seojin Bang, Chris Reed et al.
  11. Compressing Large-Scale Transformer-Based Models: A Case Study on BERTPrakhar Ganesh, Yao Chen, Xin Lou et al.our summary
  12. Context-aware Adversarial Training for Name Regularity Bias in Named Entity RecognitionAbbas Ghaddar, Philippe Langlais, Ahmad Rashid et al.
  13. Continual Learning for Grounded Instruction Generation by Observing Human Following BehaviorNoriyuki Kojima, Alane Suhr, Yoav Artzi
  14. Controllable Summarization with Constrained Markov Decision ProcessHou Pong Chan, Lu Wang, Irwin King
  15. Conversation Graph: Data Augmentation, Training, and Evaluation for Non-Deterministic Dialogue ManagementMilan Gritta, Gerasimos Lampouras, Ignacio Iacobacci
  16. Data-to-text Generation with Macro PlanningRatish Puduppully, Mirella Lapataour summary
  17. Deciphering Undersegmented Ancient Scripts Using Phonetic PriorJiaming Luo, Frederik Hartmann, Enrico Santus et al.our summary
  18. Decontextualization: Making Sentences Stand-AloneEunsol Choi, Jennimaria Palomaki, Matthew Lamm et al.our summary
  19. Decoupling the Role of Data, Attention, and Losses in Multimodal TransformersLisa Anne Hendricks, John Mellor, Rosalia Schneider et al.
  20. Dialogue State Tracking with Incremental ReasoningLizi Liao, Le Hong Long, Yunshan Ma et al.
  21. Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning StrategiesMor Geva, Daniel Khashabi, Elad Segal et al.
  22. Differentiable Subset Pruning of Transformer HeadsJiaoda Li, Ryan Cotterell, Mrinmaya Sachan
  23. EDITOR: An Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical ConstraintsWeijia Xu, Marine Carpuat
  24. Efficient Computation of Expectations under Spanning Tree DistributionsRan Zmigrod, Tim Vieira, Ryan Cotterell
  25. Efficient Content-Based Sparse Attention with Routing TransformersAurko Roy, Mohammad Saffar, Ashish Vaswani et al.
  26. Erratum: Measuring and Improving Consistency in Pretrained Language ModelsYanai Elazar, Nora Kassner, Shauli Ravfogel et al.
  27. Evaluating Document Coherence ModelingAili Shen, Meladel Mistica, Bahar Salehi et al.
  28. Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine TranslationMarkus Freitag, George Foster, David Grangier et al.our summary
  29. Explanation-Based Human Debugging of NLP Models: A SurveyPiyawat Lertvittayakumjorn, Francesca Toni
  30. Extractive Opinion Summarization in Quantized Transformer SpacesStefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara et al.our summary
  31. Gender Bias in Machine TranslationBeatrice Savoldi, Marco Gaido, Luisa Bentivogli et al.our summary
  32. He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on PragmaticsNanjiang Jiang, Marie-Catherine de Marneffeour summary
  33. How Can We Know When Language Models Know? On the Calibration of Language Models for Question AnsweringZhengbao Jiang, Jun Araki, Haibo Ding et al.
  34. Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and ReduplicationGašper Beguš
  35. Idiomatic Expression Identification using Semantic CompatibilityZiheng Zeng, Suma Bhatour summary
  36. Infusing Finetuning with Semantic DependenciesZhaofeng Wu, Hao Peng, Noah A. Smith
  37. Instance-Based Neural Dependency ParsingHiroki Ouchi, Jun Suzuki, Sosuke Kobayashi et al.
  38. Iterative Paraphrastic Augmentation with Discriminative Span AlignmentRyan Culkin, J. Edward Hu, Elias Stengel-Eskin et al.
  39. Joint Universal Syntactic and Semantic ParsingElias Stengel-Eskin, Kenton Murray, Sheng Zhang et al.our summary
  40. KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationXiaozhi Wang, Tianyu Gao, Zhaocheng Zhu et al.
  41. Latent Compositional Representations Improve Systematic Generalization in Grounded Question AnsweringBen Bogin, Sanjay Subramanian, Matt Gardner et al.
  42. Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into SensesAina Garí Soler, Marianna Apidianaki
  43. Lexically Aware Semi-Supervised Learning for OCR Post-CorrectionShruti Rijhwani, Daisy Rosenblum, Antonios Anastasopoulos et al.
  44. MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question AnsweringShayne Longpre, Yi Lu, Joachim Daiber
  45. Maintaining Common Ground in Dynamic EnvironmentsTakuma Udagawa, Akiko Aizawaour summary
  46. MasakhaNER: Named Entity Recognition for African LanguagesDavid Ifeoluwa Adelani, Jade Abbott, Graham Neubig et al.our summary
  47. Measuring and Improving Consistency in Pretrained Language ModelsYanai Elazar, Nora Kassner, Shauli Ravfogel et al.
  48. Memory-Based Semantic ParsingParag Jain, Mirella Lapata
  49. Model Compression for Domain Adaptation through Causal Effect EstimationGuy Rotman, Amir Feder, Roi Reichart
  50. Modeling Content and Context with Deep Relational LearningMaria Leonor Pacheco, Dan Goldwasser
  51. Morphology Matters: A Multilingual Language Modeling AnalysisHyunji Hayley Park, Katherine J. Zhang, Coleman Haley et al.
  52. Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTsEmanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki et al.
  53. Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive StudyXiangyang Mou, Chenghao Yang, Mo Yu et al.
  54. Neural Event Semantics for Grounded Language UnderstandingShyamal Buch, Li Fei-Fei, Noah D. Goodman
  55. Neural Modeling for Named Entities and Morphology (NEMO2)Dan Bareket, Reut Tsarfatyour summary
  56. Neural OCR Post-Hoc Correction of Historical CorporaLijun Lyu, Maria Koutraki, Martin Krickl et al.
  57. On Generative Spoken Language Modeling from Raw AudioKushal Lakhotia, Eugene Kharitonov, Wei-Ning Hsu et al.our summary
  58. On the Difficulty of Translating Free-Order Case-Marking LanguagesArianna Bisazza, Ahmet Üstün, Stephan Sportel
  59. On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and VerbsAdina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin et al.
  60. Optimizing over subsequences generates context-sensitive languagesAndrew Lamont
  61. PAQ: 65 Million Probably-Asked Questions and What You Can Do With ThemPatrick Lewis, Yuxiang Wu, Linqing Liu et al.our summary
  62. Parameter Space Factorization for Zero-Shot Learning across Tasks and LanguagesEdoardo M. Ponti, Ivan Vulić, Ryan Cotterell et al.
  63. ParsiNLU: A Suite of Language Understanding Challenges for PersianDaniel Khashabi, Arman Cohan, Siamak Shakeri et al.
  64. Partially Supervised Named Entity Recognition via the Expected Entity Ratio LossThomas Effland, Michael Collins
  65. Planning with Learned Entity Prompts for Abstractive SummarizationShashi Narayan, Yao Zhao, Joshua Maynez et al.our summary
  66. Pretraining the Noisy Channel Model for Task-Oriented DialogueQi Liu, Lei Yu, Laura Rimell et al.
  67. Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand?William Merrill, Yoav Goldberg, Roy Schwartz et al.our summary
  68. QED: A Framework and Dataset for Explanations in Question AnsweringMatthew Lamm, Jennimaria Palomaki, Chris Alberti et al.our summary
  69. Quantifying Cognitive Factors in Lexical DeclineDavid Francis, Ella Rabinovich, Farhan Samir et al.
  70. Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness MetricsPaula Czarnowska, Yogarshi Vyas, Kashif Shahour summary
  71. Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative RefinementAlireza Mohammadshahi, James Hendersonour summary
  72. Reducing Confusion in Active Learning for Part-Of-Speech TaggingAditi Chaudhary, Antonios Anastasopoulos, Zaid Sheikh et al.
  73. Relevance-guided Supervision for OpenQA with ColBERTOmar Khattab, Christopher Potts, Matei Zahariaour summary
  74. Revisiting Few-shot Relation Classification: Evaluation Data and Classification SchemesOfer Sabo, Yanai Elazar, Yoav Goldberg et al.
  75. Revisiting Multi-Domain Machine TranslationMinhQuang Pham, Josep Maria Crego, François Yvon
  76. Revisiting Negation in Neural Machine TranslationGongbo Tang, Philipp Rönchen, Rico Sennrich et al.
  77. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLPTimo Schick, Sahana Udupa, Hinrich Schütze
  78. Self-supervised Regularization for Text ClassificationMeng Zhou, Zechen Li, Pengtao Xie
  79. Sensitivity as a Complexity Measure for Sequence Classification TasksMichael Hahn, Dan Jurafsky, Richard Futrell
  80. Soloist: Building Task Bots at Scale with Transfer Learning and Machine TeachingBaolin Peng, Chunyuan Li, Jinchao Li et al.
  81. Sparse, Dense, and Attentional Representations for Text RetrievalYi Luan, Jacob Eisenstein, Kristina Toutanova et al.our summary
  82. Strong Equivalence of TAG and CCGLena Katharina Schiffer, Andreas Maletti
  83. Structured Self-Supervised Pretraining for Commonsense Knowledge Graph CompletionJiayuan Huang, Yangkai Du, Shuting Tao et al.
  84. SummEval: Re-evaluating Summarization EvaluationAlexander R. Fabbri, Wojciech Kryściński, Bryan McCann et al.
  85. Supertagging the Long Tail with Tree-Structured Decoding of Complex CategoriesJakob Prange, Nathan Schneider, Vivek Srikumar
  86. There Once Was a Really Bad Poet, It Was Automated but You Didn't Know ItJianyou Wang, Xiaoxuan Zhang, Yuren Zhou et al.
  87. Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a SummaryDaniel Deutsch, Tania Bedrax-Weiss, Dan Rothour summary
  88. Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic GuidanceMasaru Isonuma, Junichiro Mori, Danushka Bollegala et al.
  89. Unsupervised Learning of KB Queries in Task-Oriented DialogsDinesh Raghu, Nikhil Gupta, Mausam
  90. Weisfeiler-Leman in the Bamboo: Novel AMR Graph Metrics and a Benchmark for AMR Graph SimilarityJuri Opitz, Angel Daza, Anette Frankour summary
  91. What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act RecognitionPiotr Żelasko, Raghavendra Pappagari, Najim Dehakour summary
  92. WikiAsp: A Dataset for Multi-domain Aspect-based SummarizationHiroaki Hayashi, Prashant Budania, Peng Wang et al.
  93. Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic EvaluationSandro Pezzelle, Ece Takmaz, Raquel Fernández

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