A news story categorization system

  • Authors:
  • Philip J. Hayes;Laura E. Knecht;Monica J. Cellio

  • Affiliations:
  • Carnegie Group Inc, Pittsburgh, PA;Carnegie Group Inc, Pittsburgh, PA;Carnegie Group Inc, Pittsburgh, PA

  • Venue:
  • ANLC '88 Proceedings of the second conference on Applied natural language processing
  • Year:
  • 1988

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Abstract

This paper describes a pilot version of a commercial application of natural language processing techniques to the problem of categorizing news stories into broad topic categories. The system does not perform a complete semantic or syntactic analyses of the input stories. Its categorizations are dependent on fragmentary recognition using pattern-matching techniques. The fragments it looks for are determined by a set of knowledge-based rules. The accuracy of the system is only slightly lower than that of human categorizers.