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Normalization and Matching in the DORO System

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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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      An algorithm for suffix stripping

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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

            Affiliations
            Department of Computer Science,

            University of Nijmegen, The Netherlands.
            Contributors
            Conference
            April 1999
            April 1999
            : 1-13
            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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