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2018 | Supplement | Chapter

Automatic Structuring of Arabic Normative Texts

Authors : Ines Berrazega, Rim Faiz

Published in: Applied Computational Intelligence and Mathematical Methods

Publisher: Springer International Publishing

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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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Footnotes
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Metadata
Title
Automatic Structuring of Arabic Normative Texts
Authors
Ines Berrazega
Rim Faiz
Copyright Year
2018
Book
Applied Computational Intelligence and Mathematical Methods

Print ISBN: 978-3-319-67620-3

Electronic ISBN: 978-3-319-67621-0

Copyright Year: 2018

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

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