mlsanityData to 14 Oct 2026

Scoring Coreference Chains with Split-Antecedent Anaphors

arXiv 2205.12323 ↗First posted 24 May 2022cs.CLcited by 4

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Abstract (arXiv)

Anaphoric reference is an aspect of language interpretation covering a variety of types of interpretation beyond the simple case of identity reference to entities introduced via nominal expressions covered by the traditional coreference task in its most recent incarnation in ONTONOTES and similar datasets. One of these cases that go beyond simple coreference is anaphoric reference to entities that must be added to the discourse model via accommodation, and in particular split-antecedent references to entities constructed out of other entities, as in split-antecedent plurals and in some cases of discourse deixis. Although this type of anaphoric reference is now annotated in many datasets, systems interpreting such references cannot be evaluated using the Reference coreference scorer Pradhan et al. (2014). As part of the work towards a new scorer for anaphoric reference able to evaluate all aspects of anaphoric interpretation in the coverage of the Universal Anaphora initiative, we propose in this paper a solution to the technical problem of generalizing existing metrics for identity anaphora so that they can also be used to score cases of split-antecedents. This is the first such proposal in the literature on anaphora or coreference, and has been successfully used to score both split-antecedent plural references and discourse deixis in the recent CODI/CRAC anaphora resolution in dialogue shared tasks.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 11 of its 95 references that are in the map. First posted on arXiv 24 May 2022.

Builds on

11 of 95 references.

References · 11

  1. 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 834
  2. 2017End-to-end Neural Coreference Resolutioncited by 241
  3. 2018Higher-order Coreference Resolution with Coarse-to-fine Inferencecited by 150
  4. 2016Improving Coreference Resolution by Learning Entity-Level Distributed Representationscited by 50
  5. 2016Learning Global Features for Coreference Resolutioncited by 20
  6. 2020Bridging Anaphora Resolution as Question Answeringcited by 14
  7. 2019A Cluster Ranking Model for Full Anaphora Resolutioncited by 12
  8. 2020Multi-task Learning Based Neural Bridging Reference Resolutioncited by 7
  9. 2020Free the Plural: Unrestricted Split-Antecedent Anaphora Resolutioncited by 7
  10. 2017A Mention-Ranking Model for Abstract Anaphora Resolutioncited by 4
  11. 2021Stay Together: A System for Single and Split-antecedent Anaphora Resolutioncited by 3

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Citing papers per year: 2022: 2; 2023: 0; 2024: 1; 2025: 0; 2026: 1.

4 papers.