We describe a system which is capable of learning the presentation of document logical structures, exemplarily shown for business letters. Presenting a set of instances to the system, it clusters them into structural concepts and induces a concept hierarchy. This concept hierarchy is taken as a source for classifying future input. The paper introduces the different learning steps, describes how the resulting concept hierarchy is applied for logical labeling and reports on the results.


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    Titel :

    Clustering and classification of document structure-a machine learning approach


    Beteiligte:
    Dengel, A. (Autor:in) / Dubiel, F. (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    532600 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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