ChengYan Wu — accepted AI-conference papers

2025

M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis

ChengYan Wu, Bolei Ma, Yihong Liu, Zheyu Zhang, Ningyuan Deng, Yanshu Li +4

EMNLP 2025

Aspect-based sentiment analysis (ABSA) is a crucial task in information extraction and sentiment analysis, aiming to identify aspects with associated sentiment elements in text. However, existing ABSA datasets are predominantly English-centric, limiting the scope for multilingual evaluation and rese

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2025

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects

ChengYan Wu, Yiqiang Cai, Yang Liu, Pengxu Zhu, Yun Xue, Ziwei Gong +2

EMNLP 2025

While text-based emotion recognition methods have achieved notable success, real-world dialogue systems often demand a more nuanced emotional understanding than any single modality can offer. Multimodal Emotion Recognition in Conversations (MERC) has thus emerged as a crucial direction for enhancing

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