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      Combining Information Retrieval with Information Extraction for Efficient Retrieval of Calls for Papers

      20th Annual BCS-IRSG Colloquium on IR (IRSG)

      BCS-IRSG Colloquium on IR

      25-27 March 1998

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          Abstract

          In many domains there are specific attributes in documents that carry more weight than the general words in the document. This paper proposes the use of information extraction techniques in order to identify these attributes for the domain of calls for papers. The utilisation of attributes into queries imposes new requirements on the retrieval method of conventional information retrieval systems. A new model for estimating the relevance of documents to user requests is also presented. The effectiveness of this model and the benefits of integrating information extraction with information retrieval are shown by comparing our system with a typical information retrieval system. The results show a precision increase of between 45% and 60% of all recall points.

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          Author and article information

          Conference
          March 1998
          March 1998
          : 1-13
          Affiliations
          Department of Computing Science, University of Glasgow

          Glasgow, Scotland
          Article
          10.14236/ewic/IRSG1998.6
          © Fotis Lazarinis. Published by BCS Learning and Development Ltd. 20th Annual BCS-IRSG Colloquium on IR, Autrans, France

          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/

          20th Annual BCS-IRSG Colloquium on IR
          IRSG
          20
          Autrans, France
          25-27 March 1998
          Electronic Workshops in Computing (eWiC)
          BCS-IRSG Colloquium on IR
          Product
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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