软件导刊2025，Vol.24Issue(9)：62-69,8.DOI:10.11907/rjdk.241655
融合知识图谱的领域事件抽取方法
An Event Extraction Method in Specific Domains Combining Knowledge Graph
摘要
Abstract
Intensive use of specialized terminology in specific fields increases the difficulty of understanding and extracting event elements.Therefore,a event extraction method KG-PMEE that integrates knowledge graph and pre trained model is proposed.In the specific field of equipment,embedding entity information from the knowledge graph into the model training process enhances the pre trained model's under-standing of professional terminology and contextual information,and improves the model's adaptability in the target domain.The experiment shows that the proposed method has an F1 value improvement of 2.97%compared to the baseline model ERNIE on the equipment domain data-set,and its performance has also been improved on the publicly available dataset ACE2005,verifying the effectiveness of introducing knowl-edge graph information in improving domain event extraction performance.关键词
事件抽取/知识图谱/预训练模型/特定领域/深度学习Key words
event extraction/knowledge graph/pre-trained model/specific domain/deep learning分类
信息技术与安全科学引用本文复制引用
方睿,崔良中..融合知识图谱的领域事件抽取方法[J].软件导刊,2025,24(9):62-69,8.基金项目
装备预先研究项目(30209040702) （30209040702）
