MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models

Zebang Cheng, Fuqiang Niu, Yuxiang Lin, Zhi-qi Cheng, Xiaojiang Peng, Bowen Zhang


Abstract
This paper presents our winning submission to Subtask 2 of SemEval 2024 Task 3 on multimodal emotion cause analysis in conversations. We propose a novel Multimodal Emotion Recognition and Multimodal Emotion Cause Extraction (MER-MCE) framework that integrates text, audio, and visual modalities using specialized emotion encoders. Our approach sets itself apart from top-performing teams by leveraging modality-specific features for enhanced emotion understanding and causality inference. Experimental evaluation demonstrates the advantages of our multimodal approach, with our submission achieving a competitive weighted F1 score of 0.3435, ranking third with a margin of only 0.0339 behind the 1st team and 0.0025 behind the 2nd team.
Anthology ID:
2024.semeval-1.97
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:
667–674
Language:
URL:
https://aclanthology.org/2024.semeval-1.97
DOI:
Bibkey:
Cite (ACL):
Zebang Cheng, Fuqiang Niu, Yuxiang Lin, Zhi-qi Cheng, Xiaojiang Peng, and Bowen Zhang. 2024. MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 667–674, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models (Cheng et al., SemEval 2024)
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PDF:
https://preview.aclanthology.org/ingestion-checklist/2024.semeval-1.97.pdf
Supplementary material:
 2024.semeval-1.97.SupplementaryMaterial.txt
Supplementary material:
 2024.semeval-1.97.SupplementaryMaterial.zip