Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis

Tomohide Shibata, Sadao Kurohashi


Abstract
Predicate argument structure analysis is a task of identifying structured events. To improve this field, we need to identify a salient entity, which cannot be identified without performing coreference resolution and predicate argument structure analysis simultaneously. This paper presents an entity-centric joint model for Japanese coreference resolution and predicate argument structure analysis. Each entity is assigned an embedding, and when the result of both analyses refers to an entity, the entity embedding is updated. The analyses take the entity embedding into consideration to access the global information of entities. Our experimental results demonstrate the proposed method can improve the performance of the inter-sentential zero anaphora resolution drastically, which is a notoriously difficult task in predicate argument structure analysis.
Anthology ID:
P18-1054
Volume:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
579–589
Language:
URL:
https://aclanthology.org/P18-1054
DOI:
10.18653/v1/P18-1054
Bibkey:
Cite (ACL):
Tomohide Shibata and Sadao Kurohashi. 2018. Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 579–589, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis (Shibata & Kurohashi, ACL 2018)
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PDF:
https://preview.aclanthology.org/remove-xml-comments/P18-1054.pdf
Poster:
 P18-1054.Poster.pdf