Domain classification of technical terms using the Web

  • Authors:

  • Mitsuhiro Kida;Masatsugu Tonoike;Takehito Utsuro;Satoshi Sato

  • Affiliations:

  • Nintendo Co., Ltd., Kyoto, 601-8116 Japan;Nakai Research Center, Fuji Xerox Co., Ltd., Kanagawa, 259-0157 Japan;Department of Intelligent Interaction Technologies, Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, 305-8573 Japan;Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Nagoya University, Nagoya, 464-8603 Japan

  • Venue:
  • Systems and Computers in Japan
  • Year:
  • 2007

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Abstract

This paper proposes a method of domain classification oftechnical terms using the Web. In the proposed method, it isassumed that, for a certain technical domain, a list of knowntechnical terms of the domain is given. Technical documents of thedomain are collected through the Web search engine, which are thenused for generating a vector space model for the domain. The domainspecificity of a target term is estimated according to thedistribution of the domain of the sample pages of the target term.Experimental evaluation results show that the proposed method ofdomain classification of a technical term achieved mostly90% precision/recall. We then apply thistechnique of estimating domain specificity of a term to the task ofdiscovering novel technical terms that are not included in anyexisting lexicons of technical terms of the domain. Out of 1000randomly selected candidates of technical terms per domain, wediscovered about 100 to 200 novel technical terms. © 2007Wiley Periodicals, Inc. Syst Comp Jpn, 38(14): 1119, 2007;Published online in Wiley InterScience (). DOI10.1002/scj.20852