Papers by ChengYan Wu

2 papers
M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis (2025.emnlp-main)

Copied to clipboard

Challenge: Existing studies focus on English-centric aspects of sentiment analysis, limiting scope for multilingual evaluation and research.
Approach: They propose to use a multilingual dataset to analyze aspects with associated sentiment elements in text.
Outcome: The proposed dataset is the most extensive multilingual parallel dataset for ABSA to date.
Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects (2025.findings-emnlp)

Copied to clipboard

Challenge: Multimodal Emotion Recognition in Conversations (MERC) is a new way to enhance human-computer interaction.
Approach: This survey offers a systematic overview of Multimodal Emotion Recognition in Conversations . it examines motivations, core tasks, representative methods, and evaluation strategies .
Outcome: The survey examines the effectiveness of MERC and its evaluation strategies.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations