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Advances in Knowledge Discovery and Management pp 77–94Cite as

Semantic Event Extraction from Biological Texts Using a Kernel-Based Method

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 527))

Abstract

As research into protein and gene interactions continues to produce vast amount of data, concerning to biological event, there is an increasing need to capture these results in structured formats allowing for computational analysis. Although many efforts have been focused to create databases that store this information in computer readable form, populating these sources largely requires a manual process of interpreting and extracting biological event templates from the biological research literature. Being able to efficiently and systematically automate the extraction of biological events from unstructured text, would improve the content of these databases, and provide methods to collect, maintain, interpret, curate, and discover knowledge needed for research or education. Hence, it is important to have an automated extraction system to extract events from biological texts. In this paper, we present an automated information extraction approach, to identify biological events in text. Our approach is based on, identifying event triggers and extracting event participants by using a kernel learner that operates on dependency and semantic information to calculate similarity between feature vectors.

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Author information

Authors and Affiliations

  1. IHEC 2016 Carthage Presidence, LARODEC University of Carthage, Carthage, Tunisia

    Rim Faiz

  2. ISG 2000 Bardo, LARODEC University of Tunis, Tunis, Tunisia

    Maha Amami

  3. LaLIC, Université Paris-Sorbonne, 28, rue Serpente, 75006, Paris, France

    Aymen Elkhlifi

Authors
  1. Rim Faiz
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  2. Maha Amami
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  3. Aymen Elkhlifi
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Corresponding author

Correspondence to Rim Faiz .

Editor information

Editors and Affiliations

  1. LINA (CNRS UMR 6241), University of Nantes, Nantes Cedex 3, France

    Fabrice Guillet

  2. LaBRI, University of Bordeaux 1, Talence Cedex, France

    Bruno Pinaud

  3. Dpt Informatique, University François Rabelais of Tours, Tours, France

    Gilles Venturini

  4. Laboratoire ERIC, Lumière University Lyon 2, Bron, France

    Djamel Abdelkader Zighed

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© 2014 Springer International Publishing Switzerland

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Faiz, R., Amami, M., Elkhlifi, A. (2014). Semantic Event Extraction from Biological Texts Using a Kernel-Based Method. In: Guillet, F., Pinaud, B., Venturini, G., Zighed, D. (eds) Advances in Knowledge Discovery and Management. Studies in Computational Intelligence, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-319-02999-3_5

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  • DOI: https://doi.org/10.1007/978-3-319-02999-3_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02998-6

  • Online ISBN: 978-3-319-02999-3

  • eBook Packages: EngineeringEngineering (R0)

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