Abstract
This paper studies the problem of automatic categorization of provisions in Arabic normative texts. We propose a knowledge-based categorization approach coupling a taxonomy of Arabic normative provisions’ categories, an Arabic normative terminological base and a rule-based semantic annotator. The obtained model has been trained and tested over a collection of Arabic normative texts collected from the Official Gazette of the Republic of Tunisia. The performance of the approach was evaluated in terms of Precision, Recall and F-score in order to categorize instances over 14 normative categories. The obtained results over the test dataset are very promising. We have obtained 96.4 % for Precision, 96.06 % for Recall and 96.23 % for F-score.
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de Maat, E., Winkels, R.: Automatic classification of sentences in Dutch laws. In: Semantic Processing of Legal Texts. Lecture Notes in Computer Science, vol. 6036, pp. 170–191 (2008)
Franssen, M.: Automated detection of norm sentences in laws. In: Proceedings of the Twente Student Conference on IT, Enschede, 25 June 2007
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
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)
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)
Elkhlifi, A., Faiz, R.: Machine learning approach for the automatic annotation of events. In: Wilson, D., Sutcliffe, G. (eds.) Proceedings of the 20th International FLAIRS 2007—Special Track: Automatic Annotation and Information Retrieval: New Perspectives, pp. 362–367. AAAI Press, California (2007)
Smine, B., Faiz, R., Desclés, J.P.: A semantic annotation model for indexing and retrieving learning objects. J. Digital Inf. Manage. 9(4), 159–166 (2011)
Le Pirol, F.: Image and text mining based on contextual exploration from multiple points of view. In: Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference FLAIRS 2011. AAAI Press, California (2011)
Desclés J.-P.: Contextual exploration processing for discourse automatic annotations of texts. In: Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference FLAIRS 2006. AAAI Press, California (2006)
Berrazega, I., Faiz, R., Mourad, G., Bouhafs, A.: A linguistic Method for Arabic Normative Provisions’ Annotation based on Contextual Exploration. In: Proceedings of the IEEE 7th International Conference on Information and Communication Systems ICICS2016, Irbid, Amman, 5–7 Apr 2016
de Maat, E., Krabben, K., Winkels, R.: Machine learning versus knowledge based classification of legal texts. In: Proceedings of the 2010 conference on Legal Knowledge and Information Systems: JURIX 2010: The Twenty-Third Annual Conference, pp. 87–96 (2010). doi:http://dl.acm.org/citation.cfm?id=1940573
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Berrazega, I., Faiz, R., Bouhafs, A., Mourad, G. (2016). A Knowledge-Based Approach for Provisions’ Categorization in Arabic Normative Texts. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Artificial Intelligence Perspectives in Intelligent Systems. Advances in Intelligent Systems and Computing, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-319-33625-1_37
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DOI: https://doi.org/10.1007/978-3-319-33625-1_37
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