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Word Sense Induction with Attentive Context Clustering
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In: https://hal.archives-ouvertes.fr/hal-03586559 ; 2022 (2022)
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Word Sense Induction with Attentive Context Clustering
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In: https://hal.inria.fr/hal-03586559 ; 2022 (2022)
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Word Sense Induction with Attentive Context Clustering
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In: https://hal.archives-ouvertes.fr/hal-03586559 ; 2022 (2022)
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Multi-sense Embeddings through a Word Sense Disambiguation Process
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Crowdsourcing lexical semantic judgements from bilingual dictionary users
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Uso de representaciones vectoriales de las palabras para la detección de dobles sentidos (puns)
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Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical Resources
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In: Cognitive Studies | Études cognitives; No 15 (2015); 269-292 ; 2392-2397 (2015)
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Translation of keywords between English and Swedish ; Översättning av nyckelord mellan engelska och svenska
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ABSTRACT Long Tail in Weighted Lexical Networks
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In: http://hal.inria.fr/docs/00/81/62/36/PDF/COGALEX2012-ML-v4.pdf (2013)
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Désambiguisation de sens par modèles de contextes et son application à la Recherche d’Information
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Désambiguisation de sens par modèles de contextes et son application à la Recherche d’Information
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SemEval-2010 Task 2: Cross-Lingual Lexical Substitution
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In: Association for Computational Linguistics (ACL) Workshop on Semantic Evaluations (SemEval), 2010, Uppsala, Sweden (2010)
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Word sense disambiguation: a survey
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In: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf (2009)
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Regular Polysemy in WordNet
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In: ISSN: 0175-1336 ; Journal for language technology and computational linguistics ; https://hal.archives-ouvertes.fr/hal-00611244 ; Journal for language technology and computational linguistics, GSCL (Gesellschaft für Sprachtechnologie und Computerlinguistik) 2009, 24 (2), pp.5-18 (2009)
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Abstract:
International audience ; The importance of describing regular polysemy in a lexicon has often been outlined, especially in the field of natural language processing (for a good overview of this issue, see (Ravin and Leacock, 2000)). Unfortunately, no existing broad-coverage semantic lexicon has been built following this relatively recent advice. And since producing a broad coverage semantic lexicon is a very time-consuming task, one has to put this idea into practice on existing lexicons. WordNet is an appropriate lexical semantic resource for running this experiment as it is machine readable and has a wide coverage (Fellbaum, 1998). In this paper, we introduce a method to create regular polysemy patterns from WordNet data and to automatically detect their occurrences in the lexicon.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; metaphor; metonymy; regular polysemy; WordNet; WSD
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URL: https://hal.archives-ouvertes.fr/hal-00611244/document https://hal.archives-ouvertes.fr/hal-00611244 https://hal.archives-ouvertes.fr/hal-00611244/file/JLCL-24-2_2009_Barque_Chaumartin_Regular_polysemy_in_WordNet_.pdf
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The Treatment of Word Sense Inventories in the ‘LACELL WSD Project’
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In: International Journal of English Studies; Vol. 9 No. 3 (2009): Special Issue; 21-38 ; International Journal of English Studies; Vol. 9 Núm. 3 (2009): Special Issue; 21-38 ; 1989-6131 ; 1578-7044 (2009)
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