Filling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks

Loic De Langhe, Orphee De Clercq, Veronique Hoste


Anthology ID:
2023.crac-main.1
Volume:
Proceedings of The Sixth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC 2023)
Month:
December
Year:
2023
Address:
Singapore
Editors:
Maciej Ogrodniczuk, Vincent Ng, Sameer Pradhan, Massimo Poesio
Venues:
CRAC | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–7
Language:
URL:
https://aclanthology.org/2023.crac-main.1
DOI:
10.18653/v1/2023.crac-main.1
Bibkey:
Cite (ACL):
Loic De Langhe, Orphee De Clercq, and Veronique Hoste. 2023. Filling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks. In Proceedings of The Sixth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC 2023), pages 1–7, Singapore. Association for Computational Linguistics.
Cite (Informal):
Filling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks (De Langhe et al., CRAC-WS 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.crac-main.1.pdf