Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations

arXiv:2404.16905v1 Announce Type: new
Abstract: In human-computer interaction, it is crucial for agents to respond to human by understanding their emotions. Unraveling the causes of emotions is more challenging. A new task named Multimodal Emotion-Cause Pair Extraction in Conversations is responsible for recognizing emotion and identifying causal expressions. In this study, we propose a multi-stage framework to generate emotion and extract the emotion causal pairs given the target emotion. In the first stage, Llama-2-based InstructERC is utilized to extract the …

abstract agents arxiv beijing china computer conversations cs.cl cs.sd eess.as emotion emotions extraction framework human human-computer interaction multimodal research responsible samsung samsung research stage type understanding