Satisfying information needs with multi-document summaries

  • Authors:
  • Sanda Harabagiu;Andrew Hickl;Finley Lacatusu

  • Affiliations:
  • Human Language Technology Research Institute, University of Texas at Dallas, Richardson, TX 75083, USA;Language Computer Corporation, Richardson, TX 75080, USA;Language Computer Corporation, Richardson, TX 75080, USA

  • Venue:
  • Information Processing and Management: an International Journal
  • Year:
  • 2007

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Abstract

Generating summaries that meet the information needs of a user relies on (1) several forms of question decomposition; (2) different summarization approaches; and (3) textual inference for combining the summarization strategies. This novel framework for summarization has the advantage of producing highly responsive summaries, as indicated by the evaluation results.