piwik-script

Deutsch Intern
    DMIR Research Group

    Publications by Andreas Hotho

    These publications are hosted by BibSonomy.

    Local Adaptive Extraction of References

    Kluegl, Peter; Hotho, Andreas; Puppe, Frank in KI 2010: Advances in Artificial Intelligence, 33rd Annual German Conference on AI Dillmann, Rüdiger; Beyerer, Jürgen; Hanebeck, Uwe D.; Schultz, Tanja ( Eds. ), page 40-47 . Springer , 2010 .

    The accurate extraction of scholarly reference information from scientific publications is essential for many useful applications like BibTeX management systems or citation analysis. Automatic extraction methods suffer from the heterogeneity of reference notation, no matter wether the extraction model was handcrafted or learnt from labeled data. However, references of the same paper or journal are usually homogeneous. We exploit this local consistency with a novel approach. Given some initial information from such a reference section, we try to derived generalized patterns. These patterns are used to create a local model of the current document. The local model helps to identify errors and to improve the extracted information incrementally during the extraction process. Our approach is implemented with handcrafted transformation rules working on a meta-level being able to correct the information independent of the applied layout style. The experimental results compete very well with the state of the art methods and show an extremely high performance on consistent reference sections.
    Further Information
    Editor(s) Dillmann, Rüdiger; Beyerer, Jürgen; Hanebeck, Uwe D.; Schultz, Tanja
    Tags2010  for:dmir  ie  myown  references  scholary 

    Data privacy protection

    By clicking 'OK' you are leaving the web sites of the Julius-Maximilians-Universität Würzburg and will be redirected to Facebook. For information on the collection and processing of data by Facebook, refer to the social network's data privacy statement.

    Data privacy protection

    By clicking 'OK' you are leaving the web sites of the Julius-Maximilians-Universität Würzburg and will be redirected to Twitter. For information on the collection and processing of data by Facebook, refer to the social network's data privacy statement.

    Social Media
    Contact

    Andreas Hotho
    DMIR Research Group
    Am Hubland
    97074 Würzburg

    Phone: +49 931 31-86731
    Fax: +49 931 31-86732

    Find Contact