Neural Anaphora Resolution in Dialogue Revisited

Shengjie Li, Hideo Kobayashi, Vincent Ng


Abstract
We present the systems that we developed for all three tracks of the CODI-CRAC 2022 shared task, namely the anaphora resolution track, the bridging resolution track, and the discourse deixis resolution track. Combining an effective encoding of the input using the SpanBERTLarge encoder with an extensive hyperparameter search process, our systems achieved the highest scores in all phases of all three tracks.
Anthology ID:
2022.codi-crac.4
Volume:
Proceedings of the CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Editors:
Juntao Yu, Sopan Khosla, Ramesh Manuvinakurike, Lori Levin, Vincent Ng, Massimo Poesio, Michael Strube, Carolyn Rose
Venue:
CODI
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
32–47
Language:
URL:
https://aclanthology.org/2022.codi-crac.4
DOI:
Bibkey:
Cite (ACL):
Shengjie Li, Hideo Kobayashi, and Vincent Ng. 2022. Neural Anaphora Resolution in Dialogue Revisited. In Proceedings of the CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue, pages 32–47, Gyeongju, Republic of Korea. Association for Computational Linguistics.
Cite (Informal):
Neural Anaphora Resolution in Dialogue Revisited (Li et al., CODI 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.codi-crac.4.pdf