Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation

arXiv:2403.20289v1 Announce Type: new
Abstract: Emotion Recognition in Conversation (ERC) involves detecting the underlying emotion behind each utterance within a conversation. Effectively generating representations for utterances remains a significant challenge in this task. Recent works propose various models to address this issue, but they still struggle with differentiating similar emotions such as excitement and happiness. To alleviate this problem, We propose an Emotion-Anchored Contrastive Learning (EACL) framework that can generate more distinguishable utterance representations for similar emotions. To achieve this, …

arxiv conversation cs.cl cs.sd eess.as emotion framework recognition type