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Proceedings of the Computational Methods in Systems and Software

CoMeSySo 2017: Applied Computational Intelligence and Mathematical Methods pp 238–249Cite as

Automatic Structuring of Arabic Normative Texts

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 662))

Abstract

The amount of unstructured documents daily produced has dramatically increased in the last few years. As a result, automatic structuring of these contents has become an urgent need: it constitutes a prerequisite to any further automatic processing in term of annotation, indexing, information retrieval, etc. Nevertheless, a lack of automatic structuring methods for the Arabic normative texts is perceived. In this context, a method for automatic structuring of Arabic normative texts is presented in this paper. A standardized structure of Arabic normative texts is defined: two levels of granularity are identified: thematic and logic. A semantic annotation rule base is also developed to automatically structure documents according to these levels of granularity. Obtained results are very promising: the overall performance reached 94.53% for Precision, 91.21% for Recall and 92.84% for F-score.

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Notes

  1. 1.

    http://www.legislation.tn/.

  2. 2.

    https://www.w3.org/TR/WD-DOM/introduction.html.

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Author information

Authors and Affiliations

  1. LARODEC, University of Tunis – ISG, 2000, Bardo, Tunisia

    Ines Berrazega

  2. LARODEC, University of Carthage – IHEC, 2016, Carthage Presidency, Tunisia

    Rim Faiz

Authors
  1. Ines Berrazega
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  2. Rim Faiz
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Corresponding author

Correspondence to Ines Berrazega .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Berrazega, I., Faiz, R. (2018). Automatic Structuring of Arabic Normative Texts. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Applied Computational Intelligence and Mathematical Methods. CoMeSySo 2017. Advances in Intelligent Systems and Computing, vol 662. Springer, Cham. https://doi.org/10.1007/978-3-319-67621-0_22

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  • DOI: https://doi.org/10.1007/978-3-319-67621-0_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67620-3

  • Online ISBN: 978-3-319-67621-0

  • eBook Packages: EngineeringEngineering (R0)

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