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      Automatic Genre Identification: Towards a Flexible Classification Scheme

      proceedings-article

      BCS IRSG Symposium: Future Directions in Information Access 2007 (FDIA)

      Future Directions in Information Access

      28-29 August 2007

      genre, classification, inference, web pages

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            Abstract

            This paper presents an automatic genre classification model that implements a flexible classification scheme, i.e. a scheme capable of performing zero-, one- or multi-genre assignment. I suggest that this scheme is more appropriate for genres on the web, because many web pages have often more than one genre or none at all. The model that I propose relies on the distinction between the concepts of ‘text types’ and ‘genre’, which are both ‘inferred’ and not ‘learned’ from pre-labelled examples. The main drawback of this approach is that it cannot be fully evaluated given the limitations of current genre research. However, I present a partial evaluation that shows that the model performs competitively, and remains stable when re-scaled.

            Content

            Author and article information

            Contributors
            Conference
            August 2007
            August 2007
            : 1-6
            Affiliations
            [0001]University of Brighton, Lewes Road, Brighton (UK)
            Article
            10.14236/ewic/FDIA2007.1
            7d56ea4f-3329-4fb4-8dae-760e4f537107
            © Marina Santini. Published by BCS Learning and Development Ltd. BCS IRSG Symposium: Future Directions in Information Access 2007, 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/

            BCS IRSG Symposium: Future Directions in Information Access 2007
            FDIA
            Glasgow
            28-29 August 2007
            Electronic Workshops in Computing (eWiC)
            Future Directions in Information Access
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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