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An ontological approach to the integration of dictionary and terminological resources, in the context of Linked Open Data (LOD) for the Digital Humanities
In: Terminologie & Ontologie : Théories et Applications ; https://hal-cnam.archives-ouvertes.fr/hal-02555284 ; Terminologie & Ontologie : Théories et Applications, Presses universitaires Savoie Mont Blanc, 2018 (2018)
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Approche intégrant la sémantique des mots et des locutions dans l'analyse automatique du texte
In: ISSN: 0295-5245 ; Études et documents berbères ; https://hal-cnam.archives-ouvertes.fr/hal-02555301 ; Études et documents berbères, La Boîte à documents, 2018 ; https://www.cairn.info/revue-etudes-et-documents-berberes-2018-1-page-183.htm (2018)
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Use of deep learning in the context of Poorly endowed languages
In: 24e Conférence sur le Traitement Automatique de la Langue Naturelle (TALN) ; https://hal-cnam.archives-ouvertes.fr/hal-02555530 ; 24e Conférence sur le Traitement Automatique de la Langue Naturelle (TALN), Jun 2017, Orléans, France (2017)
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Conception et peuplement d'une ontologie modélisant la notion de contexte enrichie par les fonctions lexicales pour la détection du sens dans le texte : Parler du Maroc central
In: ISSN: 2028-5663 ; Asinag : revue scientifique et culturelle ; https://hal-cnam.archives-ouvertes.fr/hal-02555701 ; Asinag : revue scientifique et culturelle, Institut Royal de la Culture Amazighe, 2015, 9, pp.147 - 170 ; http://www.ircam.ma/sites/default/files/fadili_hammou_asinag9_fr.pdf (2015)
Abstract: International audience ; This work focuses on the design and the development of a context ontology model, based on a domain ontology enriched, by lexico-semantic relations defining the lexical functions introduced by Mel'cuk in the Meaning-Text Theory, and by the concept of the context, in order to improve the analysis and the detection of meaning in text. This is motivated, by the fact that, unstructured data constitute the majority of produced contents, requiring for their exploitation, the development of tools and technologies allowing their integration into knowledge-based and reasoning-based systems. Existing technologies in the analysis and the extraction of semantic information from text can have a lot of imperfections; indeed, important elements such as concept of the context and use of all possible relations between terms, are not fully and formally supported. It is why we propose an extended model of a domain ontology as a context (in our case an ontology of fauna and flora), enriched by aspects that can help to address the cited problems. Such ontologies constitute the basis of an advanced approach for the detection and the extraction of contextual and semantic information from text, published in a parallel article (H.Fadili ACS/IEEE, 2013).
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SCCO.LING]Cognitive science/Linguistics; [SHS.INFO]Humanities and Social Sciences/Library and information sciences
URL: https://hal-cnam.archives-ouvertes.fr/hal-02555701/document
https://hal-cnam.archives-ouvertes.fr/hal-02555701
https://hal-cnam.archives-ouvertes.fr/hal-02555701/file/fadili_hammou_asinag9_fr.pdf
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Aspects conceptuels de l’élaboration d’une ontologie de domaine sur la faune et la flore en berbère
In: ISSN: 0295-5245 ; Études et documents berbères ; https://hal-cnam.archives-ouvertes.fr/hal-02555693 ; Études et documents berbères, La Boîte à documents, 2015 ; https://www.cairn.info/revue-etudes-et-documents-berberes-2014-1-page-95.htm (2015)
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6
Constitution d’une ontologie de domaine sur la faune et la flore en amazigh
In: SITACAM ; https://hal-cnam.archives-ouvertes.fr/hal-02555713 ; SITACAM, May 2013, Beni Mellal, France (2013)
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