Natural language processing for browse help

  • Authors:
  • Eric Crestan;Claude de Loupy

  • Affiliations:
  • Sinequa, SinequaLabs. Ivry-sur-Seine, France and Laboratoire Informatique d'Avignon, France;Sinequa, SinequaLabs. Ivry-sur-Seine, France and MoDyCo, Université, Nanterre Cedex, France

  • Venue:
  • Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2004

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Abstract

In this paper, we will present three "browsing" systems that should save user's time. The first uses named entities and gives a way to reduce search space. By using a information visualization system, the user can comprehend more easily the content of a corpus or a document. Named entities are highlighted for quick reading, temporal and geographic representation gives a global view of the result of a query. All these browse and search helps seem to be very useful. Nevertheless, an evaluation would give more practical results.