English

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

Computation and Language 2021-04-13 v1

Abstract

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.

Cite

@article{arxiv.2104.05320,
  title  = {Stay Together: A System for Single and Split-antecedent Anaphora Resolution},
  author = {Juntao Yu and Nafise Sadat Moosavi and Silviu Paun and Massimo Poesio},
  journal= {arXiv preprint arXiv:2104.05320},
  year   = {2021}
}

Comments

accepted at NAACL 2021

R2 v1 2026-06-24T01:04:18.953Z