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How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: application to text mining
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In: ISSN: 0925-2312 ; Neurocomputing ; https://hal.archives-ouvertes.fr/hal-01168120 ; Neurocomputing, Elsevier, 2014, 147, pp.120-135. ⟨10.1016/j.neucom.2013.12.057⟩ (2014)
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Mesurer la similarité structurelle entre réseaux lexicaux
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In: TALN-20 2014 ; https://hal.archives-ouvertes.fr/hal-01321990 ; TALN-20 2014, Jul 2014, Marseille, France (2014)
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Yet Another Ranking Function for Automatic Multiword Term Extraction
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In: 9th International Conference on Natural Language Processing (PolTAL) ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01068556 ; 9th International Conference on Natural Language Processing (PolTAL), Sep 2014, Warsaw, Poland. pp.52-64, ⟨10.1007/978-3-319-10888-9_6⟩ ; http://poltal.ipipan.waw.pl/ (2014)
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Natural Language Semantics in Biproduct Dagger Categories
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In: ISSN: 1570-8683 ; Journal of Applied Logic ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00860382 ; Journal of Applied Logic, Elsevier, 2014, 12, pp.88-108. ⟨10.1016/j.jal.2013.08.001⟩ (2014)
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Supervised and semi-supervised statistical models for word-based sentiment analysis ... : Überwachte und halbüberwachte statistische Modelle zur wortbasierten Sentimentanalyse ...
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Graph Analyzer Widget Closer to Agility through Sense-Making
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In: DTIC (2014)
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An Annotation Framework for Dense Event Ordering
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In: DTIC (2014)
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The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems.
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Supervised and semi-supervised statistical models for word-based sentiment analysis ; Überwachte und halbüberwachte statistische Modelle zur wortbasierten Sentimentanalyse
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Specifying and verifying program transformations with PTRANS
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Construction of an ontology for intelligent Arabic QA systems leveraging the Conceptual Graphs representation
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Abstract:
The last decade had known a great interest in Arabic Natural Language Processing (NLP) applications. This interest is due to the prominent importance of this 6th most wide-spread language in the world with more than 350 million native speakers. Currently, some basic Arabic language challenges related to the high inflection and derivation, Part-of-Speech (PoS) tagging, and diacritical ambiguity of Arabic text are practically tamed to a great extent. However, the development of high level and intelligent applications such as Question Answering (QA) systems is still obstructed by the lacks in terms of ontologies and other semantic resources. In this paper, we present the construction of a new Arabic ontology leveraging the contents of Arabic WordNet (AWN) and Arabic VerbNet (AVN). This new resource presents the advantage to combine the high lexical coverage and semantic relations between words existing in AWN together with the formal representation of syntactic and semantic frames corresponding to verbs in AVN. The Conceptual Graphs representation was adopted in the framework of a multi-layer platform dedicated to the development of intelligent and multi-agents systems. The built ontology is used to represent key concepts in questions and documents for further semantic comparison. Experiments conducted in the context of the QA task show a promising coverage with respect to the processed questions and passages. The obtained results also highlight an improvement in the performance of Arabic QA regarding the c@1 measure. ; The work of the last author was carried out in the framework of the WIQ-EI IRSES project (Grant No. 269180) within the FP 7 Marie Curie, the DIANA APPLICATIONS - Finding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) project, and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. ; Abouenour, L.; Nasri, M.; Bouzoubaa, K.; Kabbaj, A.; Rosso, P. (2014). Construction of an ontology for intelligent Arabic QA systems leveraging the Conceptual Graphs representation. Journal of Intelligent and Fuzzy Systems. 27(6):2869-2881. https://doi.org/10.3233/IFS-141248 ; S ; 2869 ; 2881 ; 27 ; 6
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Keyword:
Arabic Natural Language Processing; Conceptual Graphs; LENGUAJES Y SISTEMAS INFORMATICOS; Ontology; Question Answering; VerbNet; WordNet
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URL: http://hdl.handle.net/10251/49680
https://doi.org/10.3233/IFS-141248
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Detección de plagio translingüe utilizando una red semántica multilingüe
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