Joint Coreference Resolution and Character Linking for Multiparty Conversation

Jiaxin Bai, Hongming Zhang, Yangqiu Song, Kun Xu


Abstract
Character linking, the task of linking mentioned people in conversations to the real world, is crucial for understanding the conversations. For the efficiency of communication, humans often choose to use pronouns (e.g., “she”) or normal entities (e.g., “that girl”) rather than named entities (e.g., “Rachel”) in the spoken language, which makes linking those mentions to real people a much more challenging than a regular entity linking task. To address this challenge, we propose to incorporate the richer context from the coreference relations among different mentions to help the linking. On the other hand, considering that finding coreference clusters itself is not a trivial task and could benefit from the global character information, we propose to jointly solve these two tasks. Specifically, we propose Cˆ2, the joint learning model of Coreference resolution and Character linking. The experimental results demonstrate that Cˆ2 can significantly outperform previous works on both tasks. Further analyses are conducted to analyze the contribution of all modules in the proposed model and the effect of all hyper-parameters.
Anthology ID:
2021.eacl-main.43
Volume:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Month:
April
Year:
2021
Address:
Online
Editors:
Paola Merlo, Jorg Tiedemann, Reut Tsarfaty
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
539–548
Language:
URL:
https://aclanthology.org/2021.eacl-main.43
DOI:
10.18653/v1/2021.eacl-main.43
Bibkey:
Cite (ACL):
Jiaxin Bai, Hongming Zhang, Yangqiu Song, and Kun Xu. 2021. Joint Coreference Resolution and Character Linking for Multiparty Conversation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 539–548, Online. Association for Computational Linguistics.
Cite (Informal):
Joint Coreference Resolution and Character Linking for Multiparty Conversation (Bai et al., EACL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.eacl-main.43.pdf
Code
 HKUST-KnowComp/C2