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

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, LLaMA2-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.
Anthology ID:
2024.semeval-1.81
Volume:
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
Month:
June
Year:
2024
Address:
Mexico City, Mexico
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
536–546
Language:
URL:
https://preview.aclanthology.org/icon-24-ingestion/2024.semeval-1.81/
DOI:
10.18653/v1/2024.semeval-1.81
Bibkey:
Cite (ACL):
Shen Zhang, Haojie Zhang, Jing Zhang, Xudong Zhang, Yimeng Zhuang, and Jinting Wu. 2024. Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 536–546, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations (Zhang et al., SemEval 2024)
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PDF:
https://preview.aclanthology.org/icon-24-ingestion/2024.semeval-1.81.pdf
Supplementarymaterial:
 2024.semeval-1.81.SupplementaryMaterial.txt
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 2024.semeval-1.81.SupplementaryMaterial.zip
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