Paper: A News Story Categorization System

ACL ID A88-1002
Title A News Story Categorization System
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1988
Authors

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.