Acquiring Concept Hierarchies of Adjectives from Corpora: Towards Construction of Ontology of Adjectives from a real data

KANZAKI KYOKO, MA QING, YAMAMOTO EIKO, SHIRADO TAMOTSU, ISAHARA HITOSHI

doi:10.5715/jnlp.15.4_59

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コーパスからの形容詞概念階層の構築と評価―実データによる形容詞オントロジーの構築にむけて一
コーパスカラノケイヨウシガイネンカイソウノコウチクトヒョウカジツデータニヨルケイヨウシオントロジーノコウチクニムケテ
Towards Construction of Ontology of Adjectives from a real data
実データによる形容詞オントロジーの構築にむけて

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Abstract

The method of organizing word meanings is a crucial issue with lexical databases.Weare aiming to extract the semantic structure of concepts of adjectives from corporaautomatically.The first step to achieving this is to obtain the concepts of adjec-tives from corpora, for which we used abstract nouns.We constructed linguistic databy extracting semantic relations between abstract nouns and adjectives from corpusdata.This paper describes how to hierarchically organize abstract concepts of adjec-tives mainly using the Complementary Similarity Measure (CSM) which calculatesinclusion relations (hypernym/hyponym relations) between words.To estimate hy-pernym/hyponym relations between words, we compared three hierarchical structuresof abstract concepts of adjectives: according to CSM, CSM with frequency (Freq), and an alternative similarity measure based on coefficient overlap.We evaluated au-tomatically generated concept hierarchies of adjectives with those in EDR, and foundthat 43% of those automatically generated were better than EDR.

Journal

Journal of Natural Language Processing

Journal of Natural Language Processing 15 (4), 59-88, 2008

The Association for Natural Language Processing

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