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.
Original language | English |
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Title of host publication | NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics |
Subtitle of host publication | Human Language Technologies, Proceedings of the Conference |
Publisher | Association for Computational Linguistics |
Pages | 4174-4184 |
Number of pages | 11 |
ISBN (Electronic) | 9781954085466 |
Publication status | Published - 2021 |
Event | 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021 - Virtual, Online Duration: 6 Jun 2021 → 11 Jun 2021 |
Publication series
Name | NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference |
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Conference
Conference | 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021 |
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City | Virtual, Online |
Period | 6/06/21 → 11/06/21 |
Bibliographical note
Publisher Copyright:© 2021 Association for Computational Linguistics.
Funding
This research was supported in part by the DALI project, ERC Grant 695662.
Funders | Funder number |
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Dali University | |
Horizon 2020 Framework Programme | 695662 |
European Research Council |