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    DMIR Research Group

    Publications by Andreas Hotho

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    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 ( Hrsg. ), Seite 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.
    Weitere Informationen
    Herausgeber Dillmann, Rüdiger; Beyerer, Jürgen; Hanebeck, Uwe D.; Schultz, Tanja
    Tags2010  for:dmir  ie  myown  references  scholary 

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    Andreas Hotho
    DMIR Research Group
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