Artificial Intelligence in Medicine
Volume 39, Issue 2 , Pages 127-136 , February 2007

Mining of relations between proteins over biomedical scientific literature using a deep-linguistic approach

  • Fabio Rinaldi

      Affiliations

    • Institute of Computational Linguistics, University of Zurich, Binzmühlestrasse 14, CH-8050 Zürich, Switzerland
    • Corresponding Author InformationCorresponding author. Tel.: +41 44 635 6724; Fax: +41 44 635 6809.
    • ,
  • Gerold Schneider

      Affiliations

    • Institute of Computational Linguistics, University of Zurich, Binzmühlestrasse 14, CH-8050 Zürich, Switzerland
    • ,
  • Kaarel Kaljurand

      Affiliations

    • Institute of Computational Linguistics, University of Zurich, Binzmühlestrasse 14, CH-8050 Zürich, Switzerland
    • ,
  • Michael Hess

      Affiliations

    • Institute of Computational Linguistics, University of Zurich, Binzmühlestrasse 14, CH-8050 Zürich, Switzerland
    • ,
  • Christos Andronis

      Affiliations

    • Biovista, 34 Rodopoleos Str., Ellinikon, GR-16777 Athens, Greece
    • ,
  • Ourania Konstandi

      Affiliations

    • Biovista, 34 Rodopoleos Str., Ellinikon, GR-16777 Athens, Greece
    • ,
  • Andreas Persidis

      Affiliations

    • Biovista, 34 Rodopoleos Str., Ellinikon, GR-16777 Athens, Greece

Received 16 January 2006 ,Revised 27 August 2006 ,Accepted 28 August 2006.

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☆ A preliminary version of the system described in this paper has been presented in [1]. Recent results obtained after the submission of this paper are described in [2]. All URLs mentioned in this paper have been accessed and verified on 10 May 2006.

☆☆ The tools and resources used for the work described in this paper are freely available for research purposes. The DepGENIA corpus can be downloaded from the OntoGene web site (http://www.ontogene.org/). The Pro3Gres parser and the OntoGene text mining system can be obtained by contacting the authors of this paper.

PII: S0933-3657(06)00137-0

doi: 10.1016/j.artmed.2006.08.005

Artificial Intelligence in Medicine
Volume 39, Issue 2 , Pages 127-136 , February 2007

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