Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations
Shen Zhang, Haojie Zhang, Jing Zhang, Xudong Zhang, Yimeng Zhuang, Jinting Wu · 2024
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 emotion category of each utterance in a conversation.After emotion recognition, a two-stream attention model is employed to extract the emotion causal pairs given the target emotion for subtask 2 while MuTEC is employed to extract causal span for subtask 1.Our approach achieved first place for both of the two subtasks in the competition.