An Approach for Automatic Categorization of Arabic Normative Provisions

摘要

This paper studies the problem of automatic categorization of Arabic normative provisions. An automatic categorization approach based on a semantic annotation model is proposed. Coupling a taxonomy of Arabic normative provisions' categories, an Arabic normative terminological base and a rule-based semantic annotator, the proposed semantic annotation model enables the automatic categorization of normative provisions in Arabic legal texts. The robustness and the language independency of the proposed approach are also studied. Robustness is measured with the comparison of the constructed model against Machine Learning (ML) approaches. The language independency level is evaluated through the adaptation of the proposed model to the French language. The performance of the approach is evaluated in terms of Precision, Recall and F-score. The obtained results for the different experiments are very promising.