基于线索挖掘的篇章间事件关系抽取方法OA

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.