Summarizing documents in context: modeling the user’s information need

  • Authors:
  • Yllias Chali

  • Affiliations:
  • Department of Computer Science, University of Lethbridge, Lethbridge, Alberta, Canada

  • Venue:
  • FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
  • Year:
  • 2006

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Abstract

Popularity of the Internet has contributed towards the explosive growth of the information available to users for day to day usage, and people are faced with information overload problems because of the spread of the information across various kinds of sources – documents, web pages, mails, faxes, manuals, reports, books, etc. In this paper, we present a text summarization system that models the real-world application in which the user would be interested in learning about a sequence of events. Also, we focus on some evaluation procedures.