Acquisition of hyponymy relations for agricultural terms from a Japanese statutory corpus
Makoto Nakamura, Tomohiro Ohno, Yasuhiro Ogawa, Katsuhiko Toyama · Information Processing in Agriculture · 2014
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.