NLP & Large Language Models
Language understanding, representation learning, multilingual NLP, and LLM adaptation.
Natural Language Processing · AI
Associate Professor · Institute of Artificial Intelligence Innovation
National Yang Ming Chiao Tung University, Hsinchu, Taiwan
My research focuses on natural language processing and large language models, with particular interests in medical language understanding, dimensional sentiment analysis, information retrieval, and information extraction.
Research
Language understanding, representation learning, multilingual NLP, and LLM adaptation.
Healthcare NLP, medical question answering, clinical text mining, and mental-health applications.
Dimensional sentiment analysis, valence–arousal modeling, aspect-based sentiment, and emotion understanding.
Dense retrieval, neural reranking, semantic similarity, and retrieval-augmented language technologies.
Updates
“DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis” appeared at ACL 2026.
Serving as Program Chair of ROCLING-2026.
Co-organizing Task 3 on Dimensional Aspect-Based Sentiment Analysis (DimABSA).
Second place in SemEval-2026 Task 9 on multilingual, multicultural, and multievent online polarization.
Representative Work
Lung-Hao Lee, Liang-Chih Yu, Natalia V Loukachevitch, Ilseyar Alimova, Alexander Panchenko, Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou, Guangmin Zheng, Jin Wang, Sharanya Awasthi, Jonas Becker, Jan Philip Wahle, Terry Ruas, Shamsuddeen Hassan Muhammad, Saif M. Mohammad
Proceedings of ACL 2026.
Join the Lab
Motivated students interested in natural language processing, large language models, medical NLP, sentiment analysis, or information retrieval are welcome to get in touch. Please include your CV and a short statement of research interests.