Extracting ontological relations of korean numeral classifiers from semi-structured resources using NLP techniques

Authors:
Youngim Jung;Soonhee Hwang;Aesun Yoon;Hyuk-Chul Kwon
Affiliations:
Department of Computer Science and Engineering, Pusan National University;Center for U-Port IT Research and Education, Pusan National University;Department of French, Pusan National University, Busan, S Korea;Department of Computer Science and Engineering, Pusan National University
Venue:
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Year:
2006

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Abstract

Many studies have focused on the facts that numeral classifiers give decisive clues to the semantic categorizing of nouns However, few studies have analyzed the ontological relationships of classifiers or the construction of classifier ontology In this paper, a semi-automatic method of extracting and representing the various ontological relations of Korean numeral classifiers is proposed Shallow parsing and word-sense disambiguation were used to extract semantic relations from natural language texts and from wordnets.