A Knowledge-Based Approach for Provisions’ Categorization in Arabic Normative Texts

Author:

Berrazega Ines,Faiz Rim,Bouhafs Asma,Mourad Ghassan

Publisher

Springer International Publishing

Reference11 articles.

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2. Franssen, M.: Automated detection of norm sentences in laws. In: Proceedings of the Twente Student Conference on IT, Enschede, 25 June 2007

3. Mazzei, A., Radicioni, D.P., Brighi, R.: NLP-based extraction of modificatory provisions semantics. In: Proceedings of the 12th International Conference on Artificial Intelligence and Law (ICAIL ‘09), pp. 50–57. ACM, New York (2009). doi: http://dl.acm.org/citation.cfm?id=1568241

4. Soria, C., Bartolini, R., Lenci, A., Montemagni, S., Pirrelli, V.: Automatic extraction of semantics in law documents. In: Biagoli, C., Francesconi, E., Sator, G. (eds.) Proceedings of the V Legislative XML Workshop, pp. 253–266. European Press Academic Publishing (2007)

5. Desclés, J.P.: Exploration Contextuelle et sémantique: un système expert qui trouve les valeurs sémantiques des temps de l’indicatif dans un texte. In: Herin-Aime, D., Dieng, R., Regourd, J-P., Angoujard, J.P. (éds.) Knowledge Modeling and Expertise Transfer, pp. 371–400. Amsterdam (1991)

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