TL;DRAbstract
A multi-lingual lexical semantic called CoreNet has been developed by KAIST KORTERM. CoreNet is constructed based on one shared semantic hierarchy oriented from NTT thesaurus. Korean in CoreNet consists of 2,937 conceptual nodes (semantic categories) with 12 depth levels and of 51,172 senses for nouns, 5,290 for verbs, and 2,081 for adjectives in Korean. As a primary work for constructing a conceptual map of Korean words, this paper aims to show the concept distributions of Korean words in CoreNet based on the depths and semantic categories. The analysis results on concept distributions shows that WORK and HUMAN ACTIVITY are the most broadly distributed concepts in nouns and verbs, while ABSTRACT RELATION, STATE, and ATTRIBUTE are the most ones in adjectives. This study provides the indispensable statistical data in order to construct a conceptual map of Korean words. Moreover, it allows to structurally and totally understand structure of Korean wordnet, to review proper specifications
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A multi-lingual lexical semantic called CoreNet has been developed by KAIST KORTERM. CoreNet is constructed based on one shared semantic hierarchy oriented from NTT thesaurus. Korean in CoreNet consists of 2,937 conceptual nodes (semantic categories) with 12 depth levels and of 51,172 senses for nouns, 5,290 for verbs, and 2,081 for adjectives in Korean. As a primary work for constructing a conceptual map of Korean words, this paper aims to show the concept distributions of Korean words in CoreNet based on the depths and semantic categories. The analysis results on concept distributions shows that WORK and HUMAN ACTIVITY are the most broadly distributed concepts in nouns and verbs, while ABSTRACT RELATION, STATE, and ATTRIBUTE are the most ones in adjectives. This study provides the indispensable statistical data in order to construct a conceptual map of Korean words. Moreover, it allows to structurally and totally understand structure of Korean wordnet, to review proper specifications
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