Sense matrix model and discrete cosine transform

  • Authors:
  • Bing Swen

  • Affiliations:
  • Institute of Computational Linguistics, Peking University, Beijing, China

  • Venue:
  • AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
  • Year:
  • 2004

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Abstract

In this paper we first present a brief introduction of the Sense Matrix Model (SMM), which employs a word-sense matrix representation of text for information retrieval, and then a discussion about one of the document transform techniques introduced by the model, namely discrete cosine transform (DCT) on document matrices and vectors. A first system implementation along with its experimental results is discussed, which provides marginal to medium improvements and validates the potential of DCT.