International audienceThis paper describes automatic construction a freely-available wordnet for French (WOLF) based on Princeton WordNet (PWN) by using various multilingual resources. Polysemous words were dealt with an approach in which a parallel corpus for five languages was word-aligned and the extracted multilingual lexicon was disambiguated with the existing wordnets for these languages. On the other hand, a bilingual approach sufficed to acquire equivalents for monosemous words. Bilingual lexicons were extracted from Wikipedia and thesauri. The results obtained from each resource were merged and ranked according to the number of resources yielding the same literal. Automatic evaluation of the merged wordnet was performed with the Fr...
Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous ...
Everybody knows WordNet, but do you know everything inside it? We propose here to rediscover WordNet...
International audienceIn this paper we present a language-independent, fully modular and automatic a...
International audienceThis paper describes automatic construction a freely-available wordnet for Fre...
International audienceIn this paper, we propose a simple methodology for building or extending wordn...
International audienceIn this paper we present the extension of WOLF, a freely available, automatica...
International audienceThis paper compares automatically generated sets of synonyms in French and Slo...
International audienceIn this paper we present an automatic, language-independent approach to extend...
International audienceThis paper presents a work on extending the adverbial entries of WOLF, a seman...
International audienceAutomatic methods for wordnet development in languages other than English gene...
Proceedings of the NODALIDA 2009 workshop WordNets and other Lexical Semantic Resources — between L...
International audienceCet article décrit la construction d'un Wordnet Libre du Français (WOLF) à par...
International audienceThe automatic development of semantic resources constitutes an important chall...
International audienceVerbNet is an English lexical resource for verbs that has proven useful for En...
This research is located in the natural language processing (NLP) domain, at the intersection of com...
Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous ...
Everybody knows WordNet, but do you know everything inside it? We propose here to rediscover WordNet...
International audienceIn this paper we present a language-independent, fully modular and automatic a...
International audienceThis paper describes automatic construction a freely-available wordnet for Fre...
International audienceIn this paper, we propose a simple methodology for building or extending wordn...
International audienceIn this paper we present the extension of WOLF, a freely available, automatica...
International audienceThis paper compares automatically generated sets of synonyms in French and Slo...
International audienceIn this paper we present an automatic, language-independent approach to extend...
International audienceThis paper presents a work on extending the adverbial entries of WOLF, a seman...
International audienceAutomatic methods for wordnet development in languages other than English gene...
Proceedings of the NODALIDA 2009 workshop WordNets and other Lexical Semantic Resources — between L...
International audienceCet article décrit la construction d'un Wordnet Libre du Français (WOLF) à par...
International audienceThe automatic development of semantic resources constitutes an important chall...
International audienceVerbNet is an English lexical resource for verbs that has proven useful for En...
This research is located in the natural language processing (NLP) domain, at the intersection of com...
Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous ...
Everybody knows WordNet, but do you know everything inside it? We propose here to rediscover WordNet...
International audienceIn this paper we present a language-independent, fully modular and automatic a...