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

作     者：Makoto Nakamura Tomohiro Ohno Yasuhiro Ogawa Katsuhiko Toyama 

作者机构：Japan Legal Information InstituteGraduate School of LawNagoya UniversityFuro-choChikusa-kuNagoya 464-8601Japan Information Technology CenterNagoya UniversityFuro-choChikusa-kuNagoya 464-8601Japan Graduate School of Information ScienceNagoya UniversityFuro-choChikusa-kuNagoya 464-8601Japan 

出 版 物：《Information Processing in Agriculture》 (农业信息处理（英文）)

年 卷 期：2014年第1卷第2期

页      面：95-104页

核心收录：

学科分类：050102[文学-语言学及应用语言学] 03[法学] 030303[法学-人类学] 05[文学] 0907[农学-林学] 0908[农学-水产] 0710[理学-生物学] 0303[法学-社会学] 0501[文学-中国语言文学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0905[农学-畜牧学] 0707[理学-海洋科学] 0906[农学-兽医学] 0829[工学-林业工程] 0901[农学-作物学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This research was partly supported by the Japan Society for the Promotion of Science KAKENHI Grant-in-Aid for Scientific Researches(S)No.23220005 (A)No.26240050 (B)No.23300094 and Young Scientists(B)No.23700310 

主　　题：AGROVOC Japanese statutory corpus Legal text processing 

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