CoMeSySo 2017: Applied Computational Intelligence and Mathematical Methods pp 238-249 | Cite as
Automatic Structuring of Arabic Normative Texts
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.
Keywords
Automatic structures Normative texts Thematic structuring Legal XML DTD Arabic natural language processingReferences
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