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240 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond — 2021 · arXiv:2109.00725
  2. Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  3. Decontextualization: Making Sentences Stand-Alone — 2021 · Transactions of the Association for Computational Linguistics
  4. Did they answer? Subjective acts and intents in conversational discourse — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  5. Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards — 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)
  6. DynaSent: A Dynamic Benchmark for Sentiment Analysis — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  7. Empathy and Hope: Resource Transfer to Model Inter-country Social Media Dynamics — 2021 · Proceedings of the 1st Workshop on NLP for Positive Impact
  8. Identifying inherent disagreement in natural language inference — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  9. Interrater Disagreement Resolution: A Systematic Procedure to Reach Consensus in Annotation Tasks — 2021 · Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)
  10. Learning with Different Amounts of Annotation: From Zero to Many Labels — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  11. Multitask Prompted Training Enables Zero-Shot Task Generalization — 2021 · arXiv:2110.08207
  12. SemEval-2021 Task 12: Learning with Disagreements — 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
  13. Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  14. Targeting the Benchmark: On Methodology in Current Natural Language Processing Research — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  15. Training Dynamic based data filtering may not work for NLP datasets — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  16. We Need to Consider Disagreement in Evaluation — 2021 · Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future
  17. What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  18. ``I''ll be there for you'''': The One with Understanding Indirect Answers — our card · 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse
  19. (Re)construing Meaning in NLP — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  20. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models — 2020 · arXiv:2005.14709
  21. CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  22. Data and its (dis)contents: A survey of dataset development and use in machine learning research — 2020 · arXiv:2012.05345 · Patterns, Volume 2, Issue 11, 100336. 2021
  23. Evaluating Factuality in Generation with Dependency-level Entailment — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  24. HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  25. Language (Technology) is Power: A Critical Survey of ``Bias'''' in NLP — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  26. Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  27. Modeling Ambiguity with Many Annotators and Self-Assessments of Annotator Certainty — 2020 · Proceedings of the 14th Linguistic Annotation Workshop
  28. Natural Language Inference with Mixed Effects — 2020 · Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics
  29. OCNLI: Original Chinese Natural Language Inference — 2020 · arXiv:2010.05444
  30. Representation Problems in Linguistic Annotations: Ambiguity, Variation, Uncertainty, Error and Bias — 2020 · Proceedings of the 14th Linguistic Annotation Workshop
  31. Returning the N to NLP: Towards Contextually Personalized Classification Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  32. Social Media Attributions in the Context of Water Crisis — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  33. The Extraordinary Failure of Complement Coercion Crowdsourcing — 2020 · Proceedings of the First Workshop on Insights from Negative Results in NLP
  34. Thinking Like a Skeptic: Defeasible Inference in Natural Language — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  35. Uncertain Natural Language Inference — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  36. Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty — 2020 · Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science
  37. What Can We Learn from Collective Human Opinions on Natural Language Inference Data? — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  38. What Question Answering can Learn from Trivia Nerds — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  39. Would you describe a leopard as yellow? Evaluating crowd-annotations with justified and informative disagreement — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  40. Probing Natural Language Inference Models through Semantic Fragments — 2019 · arXiv:1909.07521

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