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      Normalization and Matching in the DORO System

      , , ,

      21st Annual BCS-IRSG Colloquium on IR (IRSG)

      IR Research

      19-20 April 1999

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          Abstract

          This paper is concerned with the use of linguistically motivated phrases as indexing terms in Information Retrieval applications. Apart from the conventional noun phrases, we propose to use verb phrases as index terms for text classification. Techniques for phrase matching through syntactic normalization and semantical matching are described. We discuss the realization of the syntactic normalization of phrases by transduction to frames. Semantical normalization is based on lexico-semantical relations, taking into account certain properties of the classification algorithms used.

          The ideas described here are being implemented in the Document Routing system DORO, in which statistical learning algorithms are applied to document profiles consisting of phrases. This paper describes the rationale behind work in progress, rather than presenting final results.

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          Most cited references 6

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          An algorithm for suffix stripping

           M.F. Porter (1980)
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            Experiments on using semantic distances between words in image caption retrieval

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              Context-sensitive learning methods for text categorization

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                Author and article information

                Contributors
                Conference
                April 1999
                April 1999
                : 1-13
                Affiliations
                Department of Computer Science,

                University of Nijmegen, The Netherlands.
                Article
                10.14236/ewic/IRSG1999.8
                © C.H.A. Koster et al. Published by BCS Learning and Development Ltd. 21st Annual BCS-IRSG Colloquium on IR, Glasgow

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                21st Annual BCS-IRSG Colloquium on IR
                IRSG
                21
                Glasgow
                19-20 April 1999
                Electronic Workshops in Computing (eWiC)
                IR Research
                Product
                Product Information: 1477-9358 BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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