Related Term Collection

• SASAKI YASUHIRO

  Graduate School of Informatics, Kyoto University

• SATO SATOSHI

  Graduate School of Engineering, Nagoya University

• UTSURO TAKEHITO

  Graduate School of Systems and Information Engineering, University of Tsukuba

Bibliographic Information

Other Title

• 関連用語収集問題とその解法
• カンレン ヨウゴ シュウシュウ モンダイ ト ソノ カイホウ

Abstract

This paper proposes the related term collection problem and its solution.The related term collection problem is defined as collecting a dozen of technical terms that are closely related to a given seed term.In order to solve this problem, we use the Jaccard coefficient or the x² statistics on the Web, which is calculated by the search engine hits, for measuring relatedness between the given seed term and a candidate term.These measures also verify that the candidate term is a technical term.We have implemented a related term collection system, which consists of two modules. The first module collects candidate terms from the web pages that are retrieved by a search engine.The second module selects the terms that are closely related to the given term by using one of the above two measures.Experimental results show that the system can collect a dozen of closely related terms of the given term.

Journal

• Journal of Natural Language Processing

  Journal of Natural Language Processing 13 (3), 151-175, 2006

  The Association for Natural Language Processing

Keywords

• terminology
• knowledge acquisition
• technical terms
• related terms
• Web

Details

• CRID: 1390282679452727296
• NII Article ID: 10018202830
• NII Book ID: AN10472659
• DOI: 10.5715/jnlp.13.3_151
• ISSN: 21858314
• ISSN: 13407619
• ISSN: http://id.crossref.org/issn/13407619
• NDL BIB ID: 8048842
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8048842
• Web Site: http://www.jstage.jst.go.jp/article/jnlp1994/13/3/13_3_151/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed