mlsanityData to 7 Oct 2026

Stay Together: A System for Single and Split-antecedent Anaphora Resolution

arXiv 2104.05320 ↗First posted 12 Apr 2021cs.CLcited by 3

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Abstract (arXiv)

The state-of-the-art on basic, single-antecedent anaphora has greatly improved in recent years. Researchers have therefore started to pay more attention to more complex cases of anaphora such as split-antecedent anaphora, as in Time-Warner is considering a legal challenge to Telecommunications Inc's plan to buy half of Showtime Networks Inc-a move that could lead to all-out war between the two powerful companies. Split-antecedent anaphora is rarer and more complex to resolve than single-antecedent anaphora; as a result, it is not annotated in many datasets designed to test coreference, and previous work on resolving this type of anaphora was carried out in unrealistic conditions that assume gold mentions and/or gold split-antecedent anaphors are available. These systems also focus on split-antecedent anaphors only. In this work, we introduce a system that resolves both single and split-antecedent anaphors, and evaluate it in a more realistic setting that uses predicted mentions. We also start addressing the question of how to evaluate single and split-antecedent anaphors together using standard coreference evaluation metrics.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 18 of its 35 references that are in the map. First posted on arXiv 12 Apr 2021.

Builds on

18 of 35 references.

References · 18

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2018Deep contextualized word representationscited by 2,285
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  4. 2017End-to-end Neural Coreference Resolutioncited by 240
  5. 2019WinoGrande: An Adversarial Winograd Schema Challenge at Scalecited by 194
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  7. 2019BERT for Coreference Resolution: Baselines and Analysiscited by 125
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  9. 2016Deep Reinforcement Learning for Mention-Ranking Coreference Modelscited by 63
  10. 2016Improving Coreference Resolution by Learning Entity-Level Distributed Representationscited by 50
  11. 2016Learning Global Features for Coreference Resolutioncited by 20
  12. 2019Resolving Gendered Ambiguous Pronouns with BERTcited by 16
6 more
  1. 2020Bridging Anaphora Resolution as Question Answeringcited by 14
  2. 2019A Cluster Ranking Model for Full Anaphora Resolutioncited by 12
  3. 2019Solving Hard Coreference Problemscited by 9
  4. 2020Multi-task Learning Based Neural Bridging Reference Resolutioncited by 7
  5. 2020Free the Plural: Unrestricted Split-Antecedent Anaphora Resolutioncited by 7
  6. 2017A Mention-Ranking Model for Abstract Anaphora Resolutioncited by 4

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Citing papers per year: 2021: 1; 2022: 2.

3 papers.