Dr. Key-Sun Choi is a professor of School of Computing, KAIST, Korea since 1988. He received Order of Service Merit (옥조근정훈장) in Hangeul (Korean alphabet) day for his contribution to Korean language resource & processing and its globalization in Oct/9/2015. He had also received the Eugen Wüster Prize (2014). He had been the Head of Computer Science Department in KAIST (2006-2011). He has also served for ISO/TC37/SC4 (language resource management standards) as its founding secretary since 2002. He has led the group under the Semantic Web Research Center.
He has led the Hackathon for Open Knowledge Base and Question Answering (OKBQA) since 2014, and a workshop for Natural Language Interface for Web of Data (NLIWoD) in conjunction with ISWC 2014-2015. His recent research is about machine reading for Korean language called “WiseKB” under Exobrain consortium, where challenging issues are entity-linking, predicate-linking, knowledge completion, entity summarization, and other knowlege embeddings for Korean language with multi-lingual contexts. NLQ1 shared task also started to test the English and Korean NL queries that will be expected to be answered against DBpedia or other knowledge bases. DBPedia.co.kr runs under his group’s activities.
He had founded and directed Korterm (Korea Terminology Research Center for Natural Language and Knowledge Engineering, 1998) and Bora (National Research Resource Bank for Language and Annotation, 2003). He had been an invited researcher in NEC C&C Lab of Japan (1987-1988), a visiting scholar of CSLI of Stanford University (1997), and an invited researcher of NHK Science & Technology Research Laboratories (2002). His areas of expertise are natural language processing, ontology and knowledge engineering, semantic web and linked data, and their infrastructure including text analytics. He had served the President (2009-2010) of AFNLP (Asia Federation of Natural Language Processing), and the President (2006) of Korean Cognitive Science Society.
His recent works include the deep question answering and its knowledge base construction, linked open data as a partnership of LOD2 (EU FP7 project), Korean DBPedia and its enrichment, and open Korean NLP toolkits. His works also include temporal and spatial entity mining with an application NLP2CAL, multilingual information synchronization in Wikipedia context (M-WikiSync), Korean natural language processing tools including parsers and morphological analyzer (Hannanum), and Semantic Word Net with Korean-Japanese-Chinese common concept structure and vocabularies called CoreNet. His Korean NLP infrastructure has been a role to boost up the Korean NLP as in KIBS project: KAIST corpora including KAIST Treebank & POS tagged corpora, Terminology-related language resources, and Korean Q&A and MT test suite (KS-Urimal and dataset).
The main issue of research is about how to gather the human knowledge encoded in the documents, analyze its knowhow, and provide the customized answers depending on the users and their cultural and regional weights.