计算机应用研究2026，Vol.43Issue(8)：2261-2269,9.DOI:10.19734/j.issn.1001-3695.2025.12.0505
基于内外知识融合驱动的情感-原因对提取
Internal-external knowledge fusion driven approach for emotion-cause pair extraction
摘要
Abstract
This study addressed the issues of insufficient utilization of intra-text causal clues and the introduction of noise by external knowledge in emotion cause extraction research.This paper proposed a novel method named InExKD-ECPE(internal and external knowledge fusion-driven emotion-cause pair extraction).The method first systematically annotated emotion expe-riencers in the text and constructed experiencer-driven heterogeneous graph network.This network aggregated global semantic information to strengthen the intrinsic connection between emotions and their causes when they shared the same experiencer.Furthermore,it designed a context-aware knowledge fusion module.This module calculated the emotion-sensitive similarity be-tween external knowledge entries and the text based on vad metrics.It then adaptively adjusted the knowledge injection weight by incorporating arousal,thereby effectively filtering out conflicting noise.Experimental results on public datasets show that the proposed method outperforms baseline methods,achieving improvement of 3.4 percentage points on key evaluation met-rics.These results verify the effectiveness of the method for the emotion-cause pair extraction task.关键词
情感原因提取/情感分析/因果关系/因果线索/内外知识融合/表达者/异构图网络Key words
emotion cause extraction/sentiment analysis/causal relationship/causal clue/internal and external knowledge fusion/expressor/heterogeneous graph network分类
信息技术与安全科学引用本文复制引用
李敏,田源,徐春,张冉,孙瑞娜,张雨恒..基于内外知识融合驱动的情感-原因对提取[J].计算机应用研究,2026,43(8):2261-2269,9.基金项目
新疆维吾尔自治区自然科学基金资助项目(2025D01C78) （2025D01C78）
新疆财经大学高层次人才专项项目(2024XGC020) （2024XGC020）
