Yung-Chun Chang received his Ph.D. degree in information management from National Taiwan University, Taipei, Taiwan, in 2016. Currently, he is an associate 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, http://iasl.iis.sinica.edu.tw/goingime.htm), 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 (http://daais.sinica.edu.tw/chinese/passinglist_pfp.php?yearId=43). 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.