Session summary

  • Authors:
  • Donna Harman

  • Affiliations:
  • National Institute of Standards and Technology, Gaithersburg, Md.

  • Venue:
  • HLT '91 Proceedings of the workshop on Speech and Natural Language
  • Year:
  • 1992

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Abstract

As this is the first time there has been a session on information retrieval at a DARPA Speech and Natural Language Workshop, it seems appropriate to provide a more detailed introduction to this topic than would normally appear. The term "information retrieval" refers to a particular application rather than a particular technique, with that application being the location of information in a (usually) large amount of (relatively) unstructured text. This could be done by constructing a filter to pull useful information from a continuous stream of text, such as in building an intelligent router or a library profiling system. Alternatively the text could be archived newspapers, online manuals, or electronic card catalogs, with the user constructing an ad-hoc query against this information. In both cases there needs to be accurate and complete location of information relevant to the ad-hoc query or filter, and efficient techniques capable of processing often huge amounts of incoming text or very large archives.