A document browsing tool: using lexical classes to convey information

  • Authors:
  • Lyne Da Sylva;Frédéric Doll

  • Affiliations:
  • École de bibliothéconomie et des sciences de l'information, Université de Montréal;École de bibliothéconomie et des sciences de l'information, Université de Montréal

  • Venue:
  • AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
  • Year:
  • 2005

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Abstract

This research project is a contribution to the global field of information discovery in digital documents We aim to provide the user with a tool for flexible access to the contents of digital documents: a text browsing facility inspired by traditional “back-of-the-book” style indexes It gives at a glance the main topics discussed in the document, and presents certain kinds of relationships between these topics These are captured automatically by exploiting certain lexical classes Previous research on this and similar topics is reviewed, followed by the main characteristics of a research prototype, which relies on modeling of professionally produced indexes Experimental results are presented, as well as remaining hurdles and potential applications.