Jul 2026
AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation
AtmosERC is proposed, a graph-based ERC framework that models each dialogue as a conversational graph over utterances and speakers, and improves lightweight ERC, enhances LLM-based ERC as a plug-in cue, and yields more stable predictions under local emotional deviations.
Weijie Feng, Tong Zhang, Binbin Liu et al.
· arXiv.org · 0 citations