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home / docs / papers / cited-by / Who cites «The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution»

Who cites «The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution»

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

  1. FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  2. The Validity of Coreference-based Evaluations of Natural Language Understanding — 2026 · arXiv:2602.16200
  3. Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches? — our card · 2025 · Proceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference
  4. Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  5. EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  6. Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolution — 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning
  7. WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  9. Measuring Gender Bias in Natural Language Processing: Incorporating Gender-Neutral Linguistic Forms for Non-Binary Gender Identities in Abusive Speech Detection — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
  10. NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  11. The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  12. ``Fifty Shades of Bias'''': Normative Ratings of Gender Bias in GPT Generated English Text — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  13. Choose Your Lenses: Flaws in Gender Bias Evaluation — 2022 · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
  14. Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  15. PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English — our card · 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  16. Social Norms Guide Reference Resolution — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  17. Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  18. Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction — 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)
  19. An Analysis of Dataset Overlap on Winograd-Style Tasks — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  20. Contrastive Self-Supervised Learning for Commonsense Reasoning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  21. CorefQA: Coreference Resolution as Query-based Span Prediction — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  22. Multi-Dimensional Gender Bias Classification — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  23. Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  24. A Neural Entity Coreference Resolution Review — 2019 · Expert Systems with Applications, Volume 168, 15 April 2021, 114466
  25. WinoGrande: An Adversarial Winograd Schema Challenge at Scale — 2019 · arXiv:1907.10641
  26. alikhani-2025-percor-evaluating-commonsense-reasoning-persian
  27. anh-2025-can-llms-detect-ambiguous-plural
  28. klein-2021-attention-based-contrastive-learning-winograd
  29. morabito-2023-debiasing-should-be-good-bad
  30. park-2024-picturing-ambiguity-visual-twist-winograd
  31. sheikh-2025-embitext-embracing-ambiguity-annotation-recognition
  32. song-2025-is-large-language-model-performance

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