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      The Automatic Generation of Templates for Automatic Abstracting

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

      IR Research

      19-20 April 1999

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            Abstract

            Our goal is the automatic abstraction of journal articles, initially in the field of crop protection. We build a set of templates against which the original text is compared. The templates are designed so that they match the text at points of high information content, where inferences can be made about which expressions best reflect the content of the document. Strings found by matching templates are assigned roles specific to each template. These roles correspond to slots in a frame which is used to represent the document as a whole. An abstract is generated which contains the concept-strings selected from the text.

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            Author and article information

            Conference
            April 1999
            April 1999
            : 1-8
            Affiliations
            [0001]Computing Department, Lancaster University

            Lancaster, England
            Article
            10.14236/ewic/IRSG1999.11
            efed5c8c-011f-4b35-9a56-fb8f29a96d40
            © Michael P. Oakes 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: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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