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# Who cites «Lexical Features in Coreference Resolution: To be Used With Caution»

23 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/moosavi-2017-lexical-features-coreference-resolution-be/)

1. [The Validity of Coreference-based Evaluations of Natural Language Understanding](https://arxiv.org/abs/2602.16200) *— 2026 · arXiv:2602.16200*
2. [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*
3. [GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres](https://aclanthology.org/2024.eacl-long.158/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Major Entity Identification: A Generalizable Alternative to Coreference Resolution](https://aclanthology.org/2024.emnlp-main.652/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
5. [Major Entity Identification: A Generalizable Alternative to Coreference Resolution](https://aclanthology.org/2024.crac-1.1/) *— 2024 · Proceedings of the Seventh Workshop on Computational Models of Reference, Anaphora and Coreference*
6. [Are Large Language Models Robust Coreference Resolvers?](https://arxiv.org/abs/2305.14489) *— 2023 · arXiv:2305.14489*
7. [GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/treebanks-2023-aoyama-gentle-genre-diverse-multilayer-challenge/) *— our card · 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)*
8. [Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization](https://aclanthology.org/2023.ijcnlp-short.14/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
9. [Evaluating Coreference Resolvers on Community-based Question Answering: From Rule-based to State of the Art](https://aclanthology.org/2022.crac-1.7/) *— 2022 · Proceedings of the Fifth Workshop on Computational Models of Reference, Anaphora and Coreference*
10. [Anatomy of OntoGUM–-Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms](https://md.mova.elamur.ai/free/en/docs/papers/zhu-2021-anatomy-ontogum-adapting-gum-ontonotes/) *— our card · 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference*
11. [Automatic Fake News Detection: Are Models Learning to Reason?](https://aclanthology.org/2021.acl-short.12/) *— 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)*
12. [OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres](https://aclanthology.org/2021.acl-short.59/) *— 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)*
13. [Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction](https://aclanthology.org/2021.emnlp-main.816/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
14. [An Annotated Dataset of Coreference in English Literature](https://md.mova.elamur.ai/free/en/docs/papers/bamman-2020-annotated-dataset-coreference-english-literature/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
15. [Evaluation of Coreference Resolution Systems Under Adversarial Attacks](https://aclanthology.org/2020.codi-1.16/) *— 2020 · Proceedings of the First Workshop on Computational Approaches to Discourse*
16. [A Neural Entity Coreference Resolution Review](https://arxiv.org/abs/1910.09329) *— 2019 · Expert Systems with Applications, Volume 168, 15 April 2021, 114466*
17. [Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text](https://aclanthology.org/D19-6015/) *— 2019 · Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing*
18. [Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection](https://md.mova.elamur.ai/free/en/docs/papers/moosavi-2019-automatically-extracted-minimum-spans-disentangle/) *— our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
19. [Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures](https://aclanthology.org/P18-1045/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering](https://aclanthology.org/P18-2017/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
21. [PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution](https://md.mova.elamur.ai/free/en/docs/papers/chen-2018-preco-large-scale-dataset-preschool/) *— our card · 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
22. [Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers](https://md.mova.elamur.ai/free/en/docs/papers/moosavi-2018-linguistic-features-improve-generalization-capability/) *— our card · 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
23. sarkar-2025-mahanama-unique-testbed-literary-entity
- [← previous Who cites «Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/moosavi-2016-which-coreference-evaluation-metric-do/)
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