华侨大学学报（自然科学版）2026，Vol.47Issue(5)：598-608,11.DOI:10.11830/ISSN.1000-5013.202510064
基于事件语义学的开放域无监督事件抽取
Unsupervised Open Domain Event Extraction Based on Event Semantics
摘要
Abstract
To improve the stability and completeness of trigger word and argument extraction in unsupervised event extraction for data scenarios with open domains and lack of task specific annotations,a rule and statisti-cal learning-based open domain event extraction model(RSL-ODEE)is proposed.Based on event semantics,an open domain event schema(ES-ODES)is proposed to formalize events as structured semantic units that com-posed of trigger words and elements such as subject,object,time,location,instrument,frequency,and meas-urement,thereby enhancing the interpretability and cross domain generalization ability of the extraction process.Under the guidance of this schema,an unsupervised event extraction framework is constructed that integrates trigger word recognition,abstract meaning representation(AMR)semantic graph-based argument search,and open domain machine reading comprehension(MRC)argument correction,to achieve argument extraction,completion,and fragment merging.Experimental results on the Chinese Emergency Corpus(CEC)event extraction dataset show that the proposed method achieves F1 scores for event trigger words and event argument extraction within 10.9%and 17.5%of the optimal supervised models,respectively,demonstrating comparability and competitiveness.Under unsupervised conditions,the incorporation of event semantics com-bined with AMR-based structural argument extraction and MRC-based completion and error correction capabil-ities can effectively alleviates argument omission and fragmentation issues,thereby improving the effectiveness of open domain event extraction.关键词
事件语义学/开放域/事件抽取/抽象语义表示/无监督Key words
event semantics/open domain/event extraction/abstract meaning representation/unsupervised分类
信息技术与安全科学引用本文复制引用
尹积余,许晶晶,王兆阳,王华珍,周浩..基于事件语义学的开放域无监督事件抽取[J].华侨大学学报（自然科学版）,2026,47(5):598-608,11.基金项目
华侨大学中央高校基本科研业务费资助项目(2024HQYJ01) （2024HQYJ01）
