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      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 2000 Working Papers
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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 2000 Working Papers
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      Using compression to identify acronyms in text

      Yeates, Stuart Andrew; Bainbridge, David; Witten, Ian H.
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      Yeates, S., Bainbridge, D. & Witten, I.H. (2000). Using compression to identify acronyms in text. (Working paper 00/01). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
      Permanent Research Commons link: https://hdl.handle.net/10289/1018
      Abstract
      Text mining is about looking for patterns in natural language text, and may be defined as the process of analyzing text to extract information from it for particular purposes. In previous work, we claimed that compression is a key technology for text mining, and backed this up with a study that showed how particular kinds of lexical tokens - names, dates, locations, etc. - can be identified and located in running text, using compression models to provide the leverage necessary to distinguish different token types.
      Date
      2000-01
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      00/01
      Publisher
      University of Waikato, Department of Computer Science
      Collections
      • 2000 Working Papers [12]
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