Handling polysemous triggers and arguments in event extraction: an adaptive semantics learning strategy with reward–penalty mechanism
Regular Papers|Updated:2025-05-06
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Handling polysemous triggers and arguments in event extraction: an adaptive semantics learning strategy with reward–penalty mechanism
Enhanced Publication
事件抽取中多义触发词和论元的处理:基于奖惩机制的自适应语义学习策略
“In the field of natural language processing, event extraction research has made significant progress. Experts have proposed an adaptive learning method with a reward-penalty mechanism to address the challenges of polysemy in triggers and arguments, laying a foundation for the construction of an event extraction system.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 4, Pages: 534-555(2025)
Affiliations:
1.National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China
2.College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China
3.Unit 63891 of PLA, Luoyang 471003, China
4.Unit 63893 of PLA, Luoyang 471003, China
5.State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang 471003, China
Haili LI, Zhiliang TIAN, Xiaodong WANG, et al. Handling polysemous triggers and arguments in event extraction: an adaptive semantics learning strategy with reward–penalty mechanism[J]. Frontiers of information technology & electronic engineering, 2025, 26(4): 534-555.
DOI:
Haili LI, Zhiliang TIAN, Xiaodong WANG, et al. Handling polysemous triggers and arguments in event extraction: an adaptive semantics learning strategy with reward–penalty mechanism[J]. Frontiers of information technology & electronic engineering, 2025, 26(4): 534-555. DOI: 10.1631/FITEE.2400220.
Handling polysemous triggers and arguments in event extraction: an adaptive semantics learning strategy with reward–penalty mechanismEnhanced Publication