Eraser lattices for documents and sets of documents

  • Authors:
  • Alvaro Francisco Huertas-Rosero

  • Affiliations:
  • Uinversity of Glasgow

  • Venue:
  • FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
  • Year:
  • 2009

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Abstract

Automatic schemes for the analysis of Natural Language based on word cooccurrence counting have been very successful in capturing meaning, like automatically grouping words referring to similar concepts, or documents about similar topics. In this work, a more general framework is proposed to represent documents and measurements geometrically, in a way directly related with the representation of measurement in Quantum Theory.