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 approa...

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Bibliographic Details
Published in:Information Processing in Agriculture
Main Authors: Makoto Nakamura, Tomohiro Ohno, Yasuhiro Ogawa, Katsuhiko Toyama
Format: Article
Language:English
Published: Elsevier 2014-12-01
Subjects:
AGROVOC
Japanese statutory corpus
Legal text processing
Online Access:http://www.sciencedirect.com/science/article/pii/S2214317314000201
Description
Summary: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.
ISSN:2214-3173

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