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Contextual Exploration (EC3): a strategy for the detection, extraction and visualization of target data
In: 4th International Conference on Big Data Analysis and Data Mining ; https://hal-cnam.archives-ouvertes.fr/hal-02555454 ; 4th International Conference on Big Data Analysis and Data Mining, Sep 2017, Paris, France. pp.67, ⟨10.4172/2324-9307-C1-014⟩ (2017)
Abstract: International audience ; EC3 is intended to extract relevant information from large heterogeneous and multilingual text data, in particular in WEB 3.0. The project is based on an original method: contextual exploration. EC3 does not need syntactic analysis, statistical analysis or a "general" ontology. EC3 uses only small ontologies called "linguistic ontologies" that express the linguistic knowledge of a user who must concentrate on the relevant information from one point of view. This is why EC3 works very quickly on large corpus, whose components can be both whole books as well as "short texts": SMS to books. At the output, EC3 offers a visual representation of information using an original approach: the "Memory Islands". EC3 is implanted in the ACASA / LIP6 team. EC3 is tested on the large digitized corpus provided by the Labex OBVIL «Observatoire de la Vie Littéraire», in partnership with the Bibliothèque Nationale de France (http://obvil.paris-sorbonne.fr/). OBVIL intends to develop all the resources offered by digitization and computer applications to examine French literature from the sixteenth to the twentieth century, English and American literature, Italian literature, Spanish literature, in its most traditional formats and media Or the most innovative.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [SCCO.LING]Cognitive science/Linguistics
URL: https://doi.org/10.4172/2324-9307-C1-014
https://hal-cnam.archives-ouvertes.fr/hal-02555454
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2
Exploration Contextuelle (EC3) : une stratégie de détection, d’extraction et de visualisation des données cibles
In: Traitement de l’information multimodale (TIM) ; https://hal-cnam.archives-ouvertes.fr/hal-02555410 ; Traitement de l’information multimodale (TIM), DGA, Jul 2017, Paris, France (2017)
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3
Discursive mining viewpoints in building multi-document synthesized sheets
In: Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference ; 27th International Florida Artificial Intelligence Research Society Conference ; https://hal.archives-ouvertes.fr/hal-01941159 ; 27th International Florida Artificial Intelligence Research Society Conference, May 2014, Pensacola Beach, California, United States ; https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14 (2014)
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4
Seeking for High Level Lexical Association in Texts
In: The Fourth International Conference on Computer Science and Its Applications, CIIA 2013 ; https://hal.archives-ouvertes.fr/hal-01216524 ; The Fourth International Conference on Computer Science and Its Applications, CIIA 2013, May 2013, Saida, Algeria. pp.37-46, ⟨10.1007/978-3-319-00560-7_8⟩ (2013)
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5
The Logic of Typical and Atypical Instances (LTA)
In: Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS13 ; The Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS13 ; https://hal.archives-ouvertes.fr/hal-01216530 ; The Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS13, May 2013, Miami, United States. pp.321-326 (2013)
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6
Un système logique pour les relations sémantiques entre concepts
In: Terminologie et Ontologie : Théories et Applications (TOTh 2007) ; https://hal.archives-ouvertes.fr/hal-01335139 ; Terminologie et Ontologie : Théories et Applications (TOTh 2007), Jun 2007, Annecy, France. pp.45-68 (2007)
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7
Propositions de primitives sémantiques pour la constitution de terminologies multi-lingues (français/arabe) /
In: Revue des lettres et de traduction = مجلة الآداب والترجمة [ISSN] N° 4 (1998), pp. 57-81 (1998)
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8
Les archétypes cognitifs sont générateurs de représentation des connaissances
In: TA informations. - Paris : Klincksieck 32 (1991) 1, 47-64
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