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PHASE-BASED INFORMATION RETRIEVAL1 A. T. ARAMPATZIS,* T. TSORIS2
 

Summary: PHASE-BASED INFORMATION RETRIEVAL1
A. T. ARAMPATZIS,* T. TSORIS2
, C. H. A. KOSTER3
and TH. P. VAN
DER WEIDE4
Computing Science Institute, University of Nijmegen, Nijmegen, Netherlands
(Received 15 April 1998; accepted 3 June 1998)
AbstractŠIn this article we describe a retrieval schema which goes beyond the
classical information retrieval keyword hypothesis and takes into account also
linguistic variation. Guided by the failures and successes of other state-of-the-art
approaches, as well as our own experience with the IRENA system, our approach is
based on phrases and incorporates linguistic resources and processors. In this respect,
we introduce the phrase retrieval hypothesis to replace the keyword retrieval
hypothesis. We suggest a representation of phrases suitable for indexing, and an
architecture for such a retrieval system. Syntactical normalization is introduced to
improve retrieval eectiveness. Morphological and lexico-semantical normalizations
are adjusted to ®t in this model. # 1998 Elsevier Science Ltd. All rights reserved
1. INTRODUCTION
Information retrieval (IR) has been developed to give practical solutions to people's
need for ®nding the desired information in large collections of textual data. Although

  

Source: Arampatzis, Avi - Department of Electrical and Computer Engineering, Democritus University of Thrace

 

Collections: Computer Technologies and Information Sciences