Extracting Ontological Relations of Korean Numeral Classifiers from Semi-structured Resources Using NLP Techniques

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.