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A “stereo” document representation for textual information retrieval

✍ Scribed by Liang Chen; Jia Zeng; Naoyuki Tokuda

Publisher
John Wiley and Sons
Year
2006
Tongue
English
Weight
234 KB
Volume
57
Category
Article
ISSN
1532-2882

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✦ Synopsis

Abstract

A new document representation model is presented in this paper. This model is based on the idea of representing a document by two or more pictures of the document taken from different perspectives. It is shown that by applying the stereo representation model, enhanced textual retrieval performance is achieved because the new model improves the capability of capturing individual features of the document. Experiments have been conducted on two standard corpora, TIME and ADI, using the standard term vector method and the latent semantic indexing (LSI) method based upon both the stereo representation model and the traditional representation model. Statistical t‐tests on the experimental results have convincingly illustrated that these methods achieve significant improvements in retrieval performances with the stereo representation model over those with the traditional representation model.

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