Research Interests

• Natural Language Processing
• Information Extraction and Retrieval
• Text Categorization
• Search methods in artificial intelligence
• Text Mining for Collective Intelligence
• Intelligent Chatbot of Deep Language Understanding

Work Experience

• Assistant Professor, Taipei Medical University, Graduate Institute of Data Science, Taiwan (2017/8–present)
• Academia Sinica Postdoctoral Research Fellow, Academia Sinica, Institute of Information Science, Taiwan (2017/1–2017/7)
• Postdoctoral Research Fellow, Academia Sinica, Institute of Information Science, Taiwan (2016/8–2016/12)
• Research Assistant, Academia Sinica, Institute of Information Science, Taiwan (2010/1–2016/7)
• Software Engineer, Academia Sinica, Institute of Physics, Taiwan (2008/1–2009/12)

Teaching

• Social Network Analysis and Its Applications
• Fundamentals of Machine Learning and Deep Learning
• Machine Learning in Practice
• Natural Language Processing and Text Mining
• Social Media Mining and Analysis
• Object-oriented Software Development
• Programming Basics

Vita

Yung-Chun Chang received his Ph.D. degree in information management from National Taiwan University, Taipei, Taiwan, in 2016. Currently, he is an assistant professor of the Graduate Institute of Data Science, Taipei Medical University, Taiwan. In 2008, he served the Research and Development Alternative Service (研發替代役) as a software engineer in Academia Sinica. Over 3 years development experiences of GOING (自然輸入法) (Natural Input Method, links), which is one of the most famous intelligent Chinese input method. From 2016 to 2017, he was a postdoctoral research fellow of the Institute of Information Science, Academia Sinica. He received Academia Sinica Postdoctoral Research Fellow Award in 2016 (links). From 2010, he worked as a research assistant in the Intelligent Agent System Lab (IASL) at Institute of Information Science, Academia Sinica. During last three years, he have successfully completed several research tasks. His papers have appeared in IEEE Transactions on Knowledge and Data Engineering, ACL, Database, IEEE System Journal, Computational Intelligence, JBI, PACIS, AIRS, etc. His research interests include natural language, knowledge discovery from text, information extraction, relation extraction, and question answering. His recent works include (but not limit to): topic-oriented social relationship extraction, principle-based approach for NLP applications, text mining for sentiment analysis, question answering system, and intelligent Chatbot of deep language understanding.