A Hybrid Detection and Generation Framework with Separate Encoders for Event Extraction
Published in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), 2023
This paper designs a separate-encoder framework with joint bridging training to mitigate feature interference between event detection and argument extraction, improving the two subtasks by 5.7% and 2% respectively.
* Equal contribution.
ACL Anthology | DOI: 10.18653/v1/2023.eacl-main.231
Recommended citation: Ge Shi*, Yunyue Su*, Yongliang Ma, Ming Zhou. (2023). "A Hybrid Detection and Generation Framework with Separate Encoders for Event Extraction." Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pp. 3163-3180.
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