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# 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](https://md.mova.elamur.ai/free/en/docs/papers/emami-2019-knowref-coreference-corpus-removing-gender/)

1. [FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation](https://aclanthology.org/2026.findings-eacl.269/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
2. [The Validity of Coreference-based Evaluations of Natural Language Understanding](https://arxiv.org/abs/2602.16200) *— 2026 · arXiv:2602.16200*
3. [Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?](https://md.mova.elamur.ai/free/en/docs/papers/novak-2025-findings-fourth-shared-task-multilingual/) *— 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](https://md.mova.elamur.ai/free/en/docs/papers/porada-2024-challenges-evaluating-generalization-coreference-resolution/) *— 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](https://aclanthology.org/2024.lrec-main.592/) *— 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](https://aclanthology.org/2024.conll-1.38/) *— 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning*
7. [WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts](https://aclanthology.org/2024.eacl-long.99/) *— 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](https://aclanthology.org/2023.eacl-main.54/) *— 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](https://aclanthology.org/2023.ranlp-1.119/) *— 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](https://aclanthology.org/2023.emnlp-main.1041/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
11. [The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources](https://aclanthology.org/2023.acl-long.841/) *— 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](https://aclanthology.org/2023.emnlp-main.115/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
13. [Choose Your Lenses: Flaws in Gender Bias Evaluation](https://aclanthology.org/2022.gebnlp-1.17/) *— 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](https://aclanthology.org/2022.coling-1.65/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
15. [PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English](https://md.mova.elamur.ai/free/en/docs/papers/zhao-2022-pcr4all-comprehensive-evaluation-benchmark-pronoun/) *— our card · 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
16. [Social Norms Guide Reference Resolution](https://aclanthology.org/2022.naacl-main.1/) *— 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](https://aclanthology.org/2021.emnlp-main.688/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
18. [Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction](https://aclanthology.org/2021.acl-short.117/) *— 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](https://aclanthology.org/2020.coling-main.515/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
20. [Contrastive Self-Supervised Learning for Commonsense Reasoning](https://aclanthology.org/2020.acl-main.671/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
21. [CorefQA: Coreference Resolution as Query-based Span Prediction](https://aclanthology.org/2020.acl-main.622/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
22. [Multi-Dimensional Gender Bias Classification](https://aclanthology.org/2020.emnlp-main.23/) *— 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](https://aclanthology.org/2020.emnlp-main.656/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
24. [A Neural Entity Coreference Resolution Review](https://arxiv.org/abs/1910.09329) *— 2019 · Expert Systems with Applications, Volume 168, 15 April 2021, 114466*
25. [WinoGrande: An Adversarial Winograd Schema Challenge at Scale](https://arxiv.org/abs/1907.10641) *— 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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