Conundrums in Event Coreference Resolution: Making Sense of the State of the Art

Jing Lu, Vincent Ng


Abstract
Despite recent promising results on the application of span-based models for event reference interpretation, there is a lack of understanding of what has been improved. We present an empirical analysis of a state-of-the-art span-based event reference systems with the goal of providing the general NLP audience with a better understanding of the state of the art and reference researchers with directions for future research.
Anthology ID:
2021.emnlp-main.103
Volume:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2021
Address:
Online and Punta Cana, Dominican Republic
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1368–1380
Language:
URL:
https://aclanthology.org/2021.emnlp-main.103
DOI:
10.18653/v1/2021.emnlp-main.103
Bibkey:
Cite (ACL):
Jing Lu and Vincent Ng. 2021. Conundrums in Event Coreference Resolution: Making Sense of the State of the Art. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 1368–1380, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
Conundrums in Event Coreference Resolution: Making Sense of the State of the Art (Lu & Ng, EMNLP 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2021.emnlp-main.103.pdf
Video:
 https://preview.aclanthology.org/ingestion-script-update/2021.emnlp-main.103.mp4