Institute of Information Science, Academia Sinica

Question Answering (QA) is a computer science discipline within the fields of Information Retrieval and Natural Language Processing. In recent years, the availability of large scale knowledge bases such as Knowledge Graph (Google), NELL (CMU) and Yago (Max Planck Institute) provides an opportunity for knowledge based QA systems. In this talk, we will first introduce information extraction techniques for knowledge harvesting and semantic parsing techniques for text understanding, then we will demonstrate how to construct a question answering system in education domain.

Prof. Le Sun is a professor ofthe Institute of Software, Chinese Academy of Sciences. He is the vice president of Chinese Information Processing Society of China (CIPS), the member of National Language and Character Standard Examination Committee, and the member of Terminology Sub-Committee of National Information and Documentation Standard Technical Committee.

From 2003 to 2005, he visited Birmingham University, UK and Montreal University,  Canada as a visiting scholar, and works on parallel corpus and information retrieval. His current research interests include knowledge based natural language understanding, information extraction, information retrieval and question answering. He has published more than 100 scientific papers and holds more than 10 issued patents. He is the organizer of the NTCIR-2009 MOAT Chinese task, the local co-chair of COLING 2010, MT Summit 2010 and ACL 2015, and the general chair of CLP 2010, CLP 2012 and CLP 2014.