Generic topic segmentation of document texts

  • Authors:
  • Marie-Francine Moens;Rik De Busser

  • Affiliations:
  • Katholieke Univ. Leuven, Belgium;Katholieke Univ. Leuven, Belgium

  • Venue:
  • Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2001

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Abstract

Topic segmentation is an important initial step in many text-based tasks. A hierarchical representation of a texts topics is useful in retrieval and allows judging relevancy at different levels of detail. This short paper describes research on generic algorithms for topic detection and segmentation that are applicable on texts of heterogeneous types and domains.