AI RESEARCH
Emotion-Cause Pair Extraction in Conversations via Semantic Decoupling and Graph Alignment
arXiv CS.CL
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ArXi:2604.19547v1 Announce Type: new Emotion-Cause Pair Extraction in Conversations (ECPEC) aims to identify the set of causal relations between emotion utterances and their triggering causes within a dialogue. Most existing approaches formulate ECPEC as an independent pairwise classification task, overlooking the distinct semantics of emotion diffusion and cause explanation, and failing to capture globally consistent many-to-many conversational causality.