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Who cites «PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution»

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

  1. Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text — our card · 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. The Validity of Coreference-based Evaluations of Natural Language Understanding — 2026 · arXiv:2602.16200
  3. EmbiText: Embracing Ambiguity by Annotation, Recognition and Generation of Pronominal Reference with Event-Entity Ambiguity — 2025 · Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)
  4. Enhancing Coreference Resolution with LLM-driven Data Augmentation and Adversarial Filtering — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  5. Mahānāma: A Unique Testbed for Literary Entity Discovery and Linking — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  6. Multimodal Coreference Resolution for Chinese Social Media Dialogues: Dataset and Benchmark Approach — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. NovelCR: A Large-Scale Bilingual Dataset Tailored for Long-Span Coreference Resolution — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  8. xCoRe: Cross-context Coreference Resolution — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  9. 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
  10. Major Entity Identification: A Generalizable Alternative to Coreference Resolution — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  11. Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  12. Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  13. 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
  14. 从句子图到篇章图–––基于抽象语义表示的篇章级共指标注体系设计(Discourse-Level Anaphora Annotation System Based on Abstract Semantic Representation) — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  15. Are Large Language Models Robust Coreference Resolvers? — 2023 · arXiv:2305.14489
  16. Comparative evaluation of boundary-relaxed annotation for Entity Linking performance — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  17. Entity Tracking in Language Models — 2023 · arXiv:2305.02363
  18. Longtonotes: OntoNotes with Longer Coreference Chains — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  19. Seq2seq is All You Need for Coreference Resolution — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  20. ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  21. A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
  22. Adapting Coreference Resolution Models through Active Learning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  23. Anatomy of OntoGUM–-Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms — our card · 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference
  24. Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages — our card · 2021 · ÚFAL Technical Report TR-2021-66 (ISSN 1214-5521)
  25. Modeling Fine-Grained Entity Types with Box Embeddings — 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)
  26. Moving on from OntoNotes: Coreference Resolution Model Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  27. On Generalization in Coreference Resolution — our card · 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference
  28. OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres — 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)
  29. Realistic Evaluation Principles for Cross-document Coreference Resolution — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
  30. Understanding Mention Detector-Linker Interaction in Neural Coreference Resolution — 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference
  31. A Cluster Ranking Model for Full Anaphora Resolution — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  32. An Annotated Dataset of Coreference in English Literature — our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  33. Interpretable Entity Representations through Large-Scale Typing — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  34. MuDoCo: Corpus for Multidomain Coreference Resolution and Referring Expression Generation — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  35. PeTra: A Sparsely Supervised Memory Model for People Tracking — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  36. Sequence to Sequence Coreference Resolution — 2020 · Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference
  37. Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling — 2020 · arXiv:2009.11032
  38. A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  39. A Neural Entity Coreference Resolution Review — 2019 · Expert Systems with Applications, Volume 168, 15 April 2021, 114466
  40. EntEval: A Holistic Evaluation Benchmark for Entity Representations — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  41. On GAP Coreference Resolution Shared Task: Insights from the 3rd Place Solution — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
  42. Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning — our card · 2019 · arXiv:1908.05803
  43. What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)