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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 ASRextractor: A Tool extracting Semantic Relations between Arabic Named Entities Ben Mesmia, Fatma; Zid, Fatma; Haddar, Kais... In: 3rd International Conference on Arabic Computational Linguistics (ACLing 2017) ; https://hal-univ-tours.archives-ouvertes.fr/hal-01632858 ; 3rd International Conference on Arabic Computational Linguistics (ACLing 2017), Nov 2017, Dubai, United Arab Emirates ; http://acling2017.org/ (2017) BASE Show details 2 Extraction of Semantic Relation between Arabic Named Entities Using Different Kinds of Transducer Cascades Ben Mesmia, Fatma; Kaouther, Bouabidi; Friburger, Nathalie... In: 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017) ; https://hal.archives-ouvertes.fr/hal-01491290 ; 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017), Apr 2017, Budapest, Hungary ; http://www.cicling.org/2017/ (2017) BASE Show details 3 Recognition and TEI annotation of Arabic Events Using Transducers Ben Mesmia, Fatma; Friburger, Nathalie; Haddar, Kais; Maurel, Denis In: 17th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01291336 ; 17th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2016, Konya, Turkey (2016) Abstract: International audience ; The recognition of Arabic Named Entity (ANE) is an important task allowing the identification and classification of relevant entities to predefined categories in the textual resources. In fact, the ANE having the category Event becomes a new challenge in NLP applications. Therefore, their appearance is clearly related to the evolution of the Web. Hence, it generates regularly new events’ articles appearing in the free resources such as Wikipedia. Nevertheless, their recognition and annotation require a powerful formalism and standard in order to have structured output. In this paper, we propose a method to recognize and to annotate ANE event. The proposed method is based on finite state trans-ducers using the TEI recommendation. These transducers are regrouped in a cas-cade generated by CaSsys tool available under Unitex linguistic platform. Our corpora are extracted from Arabic Wikipedia through the Kiwix tool. The ob-tained results are satisfactory through the calculated measures. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Arabic Named Entity event; Arabic Wikipedia corpus; TEI annotation; Transducer cascade; Unitex linguistic platform URL: https://hal.archives-ouvertes.fr/hal-01291336 BASE Hide details 4 Transducers cascades for an automatic recognition of Arabic named entities in order to establish links to free resources Ben Mesmia, Fatma; Friburger, Nathalie; Haddar, Kais... In: 16th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01230026 ; 16th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2015, Cairo, Egypt. pp.61-67 ; http://www.cicling.org/2015/ (2015) BASE Show details 5 Construction d’une cascade de transducteurs pour la reconnaissance des dates à partir d’un corpus Wikipédia Ben Mesmia, Fatma; Friburger, Nathalie; Haddar, Kais... In: CEC-TAL ; https://hal.archives-ouvertes.fr/hal-01177022 ; CEC-TAL, Mar 2015, Sousse, Tunisie. pp.8-11 (2015) BASE Show details

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