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Towards Automatic Domain Classification of Technical Terms: Estimating Domain Specificity of a Term Using the Web

  • Takehito Utsuro
  • Mitsuhiro Kida
  • Masatsugu Tonoike
  • Satoshi Sato
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4182)

Abstract

This paper proposes a method of domain specificity estimation of technical terms using the Web. In the proposed method, it is assumed that, for a certain technical domain, a list of known technical terms of the domain is given. Technical documents of the domain are collected through the Web search engine, which are then used for generating a vector space model for the domain. The domain specificity of a target term is estimated according to the distribution of the domain of the sample pages of the target term. Experimental evaluation results show that the proposed method achieved mostly 90% precision/recall.

Keywords

Electric Engineering Target Domain Technical Term Vector Space Model Document Similarity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Takehito Utsuro
    • 1
  • Mitsuhiro Kida
    • 2
  • Masatsugu Tonoike
    • 3
  • Satoshi Sato
    • 4
  1. 1.Graduate School of Systems and Information EngineeringUniversity of TsukubaTsukubaJapan
  2. 2.Nintendo Co.,Ltd.Kyoto-shiJapan
  3. 3.Graduate School of InformaticsKyoto UniversityKyotoJapan
  4. 4.Graduate School of EngineeringNagoya UniversityNagoyaJapan

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