Acquisition of hyponymy relations for agricultural terms from a Japanese statutory corpus

This paper, which aims to increment the vocabulary of an existing thesaurus using hyponymy relations, focuses on an agricultural thesaurus called AGROVOC. Our main goal is to acquire AGROVOC-qualified candidates from the hyponymy relations of legal texts and tables. We propose a pattern-based approach to hyponymy relation acquisition. Our experimental result showed that 222 and 868 candidates are extracted from statutory sentences with 67.1% precision and tables with 37.0% precision, respectively.