Semantic indexing using WordNet senses

  • Authors:
  • Rada Mihalcea;Dan Moldovan

  • Affiliations:
  • Southern Methodist University, Dallas, Texas;Southern Methodist University, Dallas, Texas

  • Venue:
  • RANLPIR '00 Proceedings of the ACL-2000 workshop on Recent advances in natural language processing and information retrieval: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 11
  • Year:
  • 2000

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Abstract

We describe in this paper a boolean Information Retrieval system that adds word semantics to the classic word based indexing. Two of the main tasks of our system, namely the indexing and retrieval components, are using a combined word-based and sense-based approach. The key to our system is a methodology for building semantic representations of open text, at word and collocation level. This new technique, called semantic indexing, shows improved effectiveness over the classic word based indexing techniques.