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1
NLP lexicons: innovative constructions and usages for machines and humans
In: http://hal.inria.fr/docs/00/83/29/83/PDF/eLex2011-11.pdf (2013)
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2
ABSTRACT Long Tail in Weighted Lexical Networks
In: http://hal.inria.fr/docs/00/81/62/36/PDF/COGALEX2012-ML-v4.pdf (2013)
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3
A new dynamic approach for lexical networks evaluation
In: http://hal.inria.fr/docs/00/71/14/83/PDF/LREC_2012_MLAJ_Final_v1-3.pdf (2012)
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4
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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5
Degré de comparabilité, extraction lexicale bilingue et recherche d'information interlingue
In: Actes de la 18e conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; TALN 2011 - Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-00608471 ; TALN 2011 - Conférence sur le Traitement Automatique des Langues Naturelles, Jun 2011, Montpellier, France. pp.211-222 (2011)
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6
Une analyse basée sur la S-DRT pour la modélisation de dialogues pathologiques
In: Actes de la 18e conférence sur le Traitement Automatique des Langues Naturelles - TALN 2011 ; https://hal.archives-ouvertes.fr/hal-00601622 ; Actes de la 18e conférence sur le Traitement Automatique des Langues Naturelles - TALN 2011, Jun 2011, Montpellier, France. pp.93 - 98 (2011)
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7
Multiscale visual analysis of lexical networks
In: http://hal-lirmm.ccsd.cnrs.fr/docs/00/41/06/44/PDF/index.pdf (2009)
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8
Multiscale visual analysis of lexical networks
In: http://www.lirmm.fr/~artignan/dl/5.pdf (2009)
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9
PtiClic : a game for vocabulary assessment combining JeuxDeMots and LSA
In: http://www.cicling.org/2009/RCS-41/289-298.pdf (2009)
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10
Conceptual vector learning - comparing bootstrapping from a thesaurus or induction by emergence
In: http://www.sdjt.si/bib/lrec06/pdf/618_pdf.pdf (2006)
Abstract: In the framework of the Word Sense Disambiguation (WSD) and lexical transfer in Machine Translation (MT), the representation of word meanings is one critical issue. The conceptual vector model aims at representing thematic activations for chunks of text, lexical entries, up to whole documents. Roughly speaking, vectors are supposed to encode ideas associated to words or expressions. In this paper, we first expose the conceptual vectors model and the notions of semantic distance and contextualization between terms. Then, we present in details the text analysis process coupled with conceptual vectors, which is used in text classification, thematic analysis and vector learning. The question we focus on is whether a thesaurus is really needed and desirable for bootstrapping the learning. We conducted two experiments with and without a thesaurus and are exposing here some comparative results. Our contribution is that dimension distribution is done more regularly by an emergent procedure. In other words, the resources are more efficiently exploited with an emergent procedure than with a thesaurus terms (concepts) as listed in a thesaurus somehow relate to their importance in the language but not to their frequency in usage nor to their power of discrimination or representativeness. 1.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.133.9577
http://www.sdjt.si/bib/lrec06/pdf/618_pdf.pdf
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11
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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12
Nommage De Sens L'aide Des Vecteurs Conceptuels
In: http://www.lirmm.fr/~lafourcade/ML-biblio/RFIA2004/RFIA2004-FJML-331.pdf (2004)
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13
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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14
Mixing Semantic Networks and Conceptual Vectors: the Case of Hyperonymy
In: http://www.lirmm.fr/~lafourca/ML-biblio/ICCI2003/princelafourca.pdf (2003)
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15
From word sense naming to vocabulary Augmentation In Papillon
In: http://www.lirmm.fr/~lafourcade/ML-biblio/PAPILLON-2003/papillon2003-fa-v2.pdf (2003)
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16
V.: “Antonymy and Conceptual Vectors
In: http://acl.ldc.upenn.edu/C/C02/C02-1061.pdf (2002)
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17
UNL Lexical Selection with Conceptual Vectors
In: http://www.lrec-conf.org/proceedings/lrec2002/pdf/354.pdf (2002)
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18
Antonymy and Conceptual Vectors
In: http://www.lirmm.fr/~schwab/Publications/Coling2002.ps (2002)
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19
Hardening of Acception Links Through Vectorized Lexical Functions
In: http://www.lirmm.fr/~lafourca/ML-biblio/PAPILLON-2002/DSML-Papillon2002.pdf (2002)
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20
Guessing Hierarchies and Symbols for Word Meanings through Hyperonyms and Conceptual vectors
In: http://www.lirmm.fr/~lafourca/ML-biblio/MASPEGHI/MASPEGHI2-3-ML.pdf (2002)
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