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GROBID: Combining Automatic Bibliographic Data Recognition and Term Extraction for Scholarship Publications

  • Conference paper
Research and Advanced Technology for Digital Libraries (ECDL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5714))

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Abstract

Based on state of the art machine learning techniques, GROBID (GeneRation Of BIbliographic Data) performs reliable bibliographic data extractions from scholar articles combined with multi-level term extractions. These two types of extraction present synergies and correspond to complementary descriptions of an article. This tool is viewed as a component for enhancing the existing and the future large repositories of technical and scientific publications.

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References

  1. Peng, F., McCallum, A.: Accurate Information Extraction from Research Papers using Conditional Random Fields. In: Proceedings of HLT-NAACL (2004)

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Authors and Affiliations

  1. European Patent Office, D-10969, Berlin, Germany

    Patrice Lopez

Authors
  1. Patrice Lopez
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Editor information

Editors and Affiliations

  1. Department of Information Engineering, University of Padua, Via Gradenigo 6/a, 35131, Padova, Italy

    Maristella Agosti

  2. Department of Computer Science and Engineering IST, Instituto Superior Técnico, Av. Rovisco Pais, 1049-001, Lisboa, Portugal

    José Borbinha

  3. Department of Archives and Library Sciences, Ionian University, 72 Ioannou Theotoki str., 49100, Corfu, Greece

    Sarantos Kapidakis

  4. Department of Archives and Library Sciences, Ionian University, 72 Ioannou Theotoiki str., 49100, Corfu, Greece

    Christos Papatheodorou  & Giannis Tsakonas  & 

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© 2009 Springer-Verlag Berlin Heidelberg

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Lopez, P. (2009). GROBID: Combining Automatic Bibliographic Data Recognition and Term Extraction for Scholarship Publications. In: Agosti, M., Borbinha, J., Kapidakis, S., Papatheodorou, C., Tsakonas, G. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2009. Lecture Notes in Computer Science, vol 5714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04346-8_62

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  • DOI: https://doi.org/10.1007/978-3-642-04346-8_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04345-1

  • Online ISBN: 978-3-642-04346-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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