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Communication Dans Un Congrès Année : 2015

Transducers cascades for an automatic recognition of Arabic named entities in order to establish links to free resources

Résumé

Arabic named entities (ANE) are often sources of information. This is why several applications of natural language processing (NLP) mainly in information retrieval. In order to improve the relevance of the information obtained, links to free resources can be established. Indeed, the recognition of these entities requires the use of adequate formalisms. In this paper, we propose an approach based on transducer cascades. This approach allows the recognition of ANE more precisely the dates. This category can be an integral part in the events and the names of places. The implementation of the developed transduc-ers cascades elaborated by using the CasSys tool available under the Unitex platform. The results were encouraging.
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Dates et versions

hal-01230026 , version 1 (17-11-2015)

Identifiants

  • HAL Id : hal-01230026 , version 1

Citer

Fatma Ben Mesmia, Nathalie Friburger, Kais Haddar, Denis Maurel. Transducers cascades for an automatic recognition of Arabic named entities in order to establish links to free resources. 16th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2015, Cairo, Egypt. pp.61-67. ⟨hal-01230026⟩
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