大数据2026，Vol.12Issue(1)：43-60,18.DOI:10.11959/j.issn.2096-0271.2026011
基于线索挖掘的篇章间事件关系抽取方法
A cue mining-based method for inter-document event relation extraction
摘要
Abstract
Inter-document event relation extraction aims to identify relations between document-thematic events.Specifically,a document-thematic event refers to the central event conveyed by a document,with the common assumption that each document contains only one document-thematic event.Existing methods face the following challenges:(1)difficulty in capturing event association cues.There is a lack of shared context between events,making it challenging to directly obtain relevant cues that indicate their relations;(2)a lack of sufficient evidence for event relation judgment.When two documents show no obvious content overlap,clear evidence to determine their event relation is often unavailable.To address these challenges,this paper proposes a knowledge-augmented cue mining model for inter-document event relation extraction,termed KACM.The KACM not only mines association cues from within the document content but also leverages external knowledge to assist in relation inference.Experimental results on the DTER dataset demonstrate that KACM can effectively perform inter-document event relation extraction in terms of causal,temporal,and coreference relations.关键词
篇章间事件关系/篇章主题事件/事件关系抽取/知识增强/线索挖掘Key words
inter-document event relation/document-thematic event/event relation extraction/knowledge augmented/cue mining分类
信息技术与安全科学引用本文复制引用
胡志磊,李紫宣,隗继耀,张瑾,靳小龙..基于线索挖掘的篇章间事件关系抽取方法[J].大数据,2026,12(1):43-60,18.基金项目
中国科学院战略先导项目(No.XDB0680102) （No.XDB0680102）
国家自然科学基金项目(No.62306299,No.62406308) The Strategic Priority Research Program of the CAS(No.XDB0680102),The National Natural Science Foundation of China(No.62306299,No.62406308) （No.62306299,No.62406308）
