In this paper, a method based on part-of-speech tagging (PoS) is used for bibliographic reference structure. This method operates on a roughly structured ASCII file, produced by OCR. Because of the heterogeneity of the reference structure, the method acts in a bottom-up way, without an a priori model, gathering structural elements from basic tags to sub-fields and fields. Significant tags are first grouped in homogeneous classes according to their grammar categories and then reduced in canonical forms corresponding to record fields: "authors", "title", "conference name", "date", etc. Non labelled tokens are integrated in one or another field by either applying PoS correction rules or using a structure model generated from well-detected records. The designed prototype operates with a great satisfaction on different record layouts and character recognition qualities. Without manual intervention, 96.6% words are correctly attributed, and about 75.9% references are completely segmented from 2500 references.


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    Titel :

    A segmentation method for bibliographic references by contextual tagging of fields


    Beteiligte:
    Besagni, D. (Autor:in) / Belaid, A. (Autor:in) / Benet, N. (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    283990 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Segmentation Method for Bibliographic References by Contextual Tagging of Fields

    Besagni, D. / Belaid, A. / Benet, N. et al. | British Library Conference Proceedings | 2003


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