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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 V.: “Antonymy and Conceptual Vectors Didier Schwab; Mathieu Lafourcade; Violaine Prince In: http://acl.ldc.upenn.edu/C/C02/C02-1061.pdf (2002) BASE Show details 2 UNL Lexical Selection with Conceptual Vectors Mathieu Lafourcade; Christian Boitet In: http://www.lrec-conf.org/proceedings/lrec2002/pdf/354.pdf (2002) BASE Show details 3 Antonymy and Conceptual Vectors Didier Schwab; Mathieu Lafourcade; Violaine Prince In: http://www.lirmm.fr/~schwab/Publications/Coling2002.ps (2002) BASE Show details 4 Hardening of Acception Links Through Vectorized Lexical Functions Didier Schwab; Mathieu Lafourcade In: http://www.lirmm.fr/~lafourca/ML-biblio/PAPILLON-2002/DSML-Papillon2002.pdf (2002) BASE Show details 5 Guessing Hierarchies and Symbols for Word Meanings through Hyperonyms and Conceptual vectors Mathieu Lafourcade; Lirmm Montpellier France In: http://www.lirmm.fr/~lafourca/ML-biblio/MASPEGHI/MASPEGHI2-3-ML.pdf (2002) BASE Show details 6 Hardening of Acception Links Through Vectorized Lexical Functions Didier Schwab; Mathieu Lafourcade In: http://www.lirmm.fr/~schwab/Publications/Papillon2002.ps (2002) BASE Show details 7 Antonymy and Conceptual Vectors Didier Schwab; Mathieu Lafourcade; Violaine Prince In: http://www.lirmm.fr/~lafourca/ML-biblio/COLING2002/MLDS-Coling2002.pdf (2002) BASE Show details 8 UNL Lexical Selection with Conceptual Vectors Mathieu Lafourcade; Christian Boitet In: http://www.lirmm.fr/~lafourca/ML-biblio/LREC-2002/LREC/MLCB-LREC-02.pdf (2002) Abstract: When deconverting a UNL graph into some natural language LG, we often encounter lexical items (called UWs) made of an English headword and formalized semantic restrictions, such as "look for (icl>do, agt>person)", which are not yet connected t o lemmas, so that is it necessary to find a "nearest" UW in the UNL-LG dictionary, such as "look for (icl>action, agt>human, obj>thing)". Then, this UW may be connected to several lemmas of LG. In order to solve these problems of incompleteness and polysemy, we are applying a method based on the computation of "conceptual vectors", previously used successfully in the context of thematic indexing of French and English documents. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.8592 http://www.lirmm.fr/~lafourca/ML-biblio/LREC-2002/LREC/MLCB-LREC-02.pdf BASE Hide details

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