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1
Arabic word sense disambiguation for and by machine translation ; Désambiguïsation lexicale de l'arabe pour et par la traduction automatique
Hadj Salah, Marwa. - : HAL CCSD, 2018
In: https://tel.archives-ouvertes.fr/tel-02139438 ; Traitement du texte et du document. Université Grenoble Alpes; Université de Sfax (Tunisie). Faculté des Sciences économiques et de gestion, 2018. Français. ⟨NNT : 2018GREAM089⟩ (2018)
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2
Ant colony algorithm for the unsupervised word sense disambiguation of texts: Comparison and evaluation
In: http://aclweb.org/anthology/C/C12/C12-1146.pdf (2012)
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3
Modelling, Detection and Exploitation of Lexical Functions for Analysis
In: http://www.ecti-thailand.org/assets/papers/107_pub_6.pdf (2011)
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4
Low Cost Automated Conceptual Vector Generation from Mono and Bilingual Ressources
In: http://www.lirmm.fr/~lafourcade/ML-biblio/PAPILLON-2004/PAPILLON04-MLFRDS-v3.pdf (2004)
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5
Low Cost Automated Conceptual Vector Generation from Mono and Bilingual Ressources
In: http://www.papillon-dictionary.org/info_media/42808976.pdf (2004)
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6
V.: “Antonymy and Conceptual Vectors
In: http://acl.ldc.upenn.edu/C/C02/C02-1061.pdf (2002)
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7
Antonymy and Conceptual Vectors
In: http://www.lirmm.fr/~schwab/Publications/Coling2002.ps (2002)
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8
Hardening of Acception Links Through Vectorized Lexical Functions
In: http://www.lirmm.fr/~lafourca/ML-biblio/PAPILLON-2002/DSML-Papillon2002.pdf (2002)
Abstract: In the framework of the Papillon project, we have defined strategies for populating a pivot dictionnary of interlingual links from monolingual vectorial bases. There are quite a number of acception per entry thus, the proper identification may be quite troublesome and some added clues beside acception links may be usefull. We improve the integrity of the acception base through welsl known semantic relations like synonymy, antonymy, hyperonymy and holonymy relying on lexical functions agents. These semantic relation agents can compute the pertinence of a semantic relation between two acceptions thanks to various lexical informations and conceptual vectors. When a given pertinence score is above a threshold they create a semantic link which can be walked throught by other agents in charge of WSD ot lexical transfert. Base integrity agents walk throw the acceptions and according to their speciality creates semantics links, look for incoherences in the base and emit warning toward lexicographs when neened.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.2984
http://www.lirmm.fr/~lafourca/ML-biblio/PAPILLON-2002/DSML-Papillon2002.pdf
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9
Hardening of Acception Links Through Vectorized Lexical Functions
In: http://www.lirmm.fr/~schwab/Publications/Papillon2002.ps (2002)
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10
Antonymy and Conceptual Vectors
In: http://www.lirmm.fr/~lafourca/ML-biblio/COLING2002/MLDS-Coling2002.pdf (2002)
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11
Attaching Translations to Proper Lexical Senses in DBnary
In: http://hal.univ-grenoble-alpes.fr/docs/00/99/08/70/PDF/dbnary-wsd.pdf
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12
Modelling, Detection and Exploitation of Lexical Functions for Analysis
In: http://www.lirmm.fr/~schwab/Publications/SL_ECTI_journal.pdf
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13
Lexical Functions for Ants Based Semantic Analysis
In: http://www.lirmm.fr/~schwab/Publications/SL-ICAI2007-FV.pdf
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14
Conceptual Vectors, a complementary tool to Lexical Networks
In: http://www.lirmm.fr/~schwab/Publications/SLL-NLPSC2007-llncs.pdf
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15
CONCEPTUAL VECTORS, A COMPLEMENTARY TOOL TO LEXICAL NETWORKS
In: http://liantze.penguinattack.org/files/publications/SLLNLPSC2007.pdf
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16
Limits of Lexical Semantic Relatedness with Ontology-based Conceptual Vectors
In: http://liantze.penguinattack.org/files/publications/NLPCS08-LimDidier-LimitsOfOntologyBa.pdf
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17
Lexical Access, a Search-Problem
In: http://aclweb.org/anthology-new/W/W10/W10-3411.pdf
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18
Ontology driven content extraction using interlingual annotation of texts in the OMNIA project
In: http://aclweb.org/anthology-new/W/W10/W10-4009.pdf
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