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1
Word Sense Induction with Attentive Context Clustering
In: https://hal.archives-ouvertes.fr/hal-03586559 ; 2022 (2022)
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Word Sense Induction with Attentive Context Clustering
In: https://hal.inria.fr/hal-03586559 ; 2022 (2022)
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3
Word Sense Induction with Attentive Context Clustering
In: https://hal.archives-ouvertes.fr/hal-03586559 ; 2022 (2022)
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4
Event/Nonevent Noun Disambiguation Test Set ...
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Event/Nonevent Noun Disambiguation Test Set ...
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6
Russian Event Noun Disambiguation Test Set (6X200) ...
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Russian Event Noun Disambiguation Test Set (6X200) ...
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8
Multi-sense Embeddings through a Word Sense Disambiguation Process
Abstract: Natural Language Understanding has seen an increasing number of publications in the last years, especially after robust word embedding models became popular. These models gained a special place in the spotlight when they proved themselves able to capture and represent semantic relations underneath huge amounts of data. Nevertheless, traditional models often fall short in intrinsic issues of linguistics, such as polysemy and homonymy. Multi-sense word embeddings were devised to alleviate these and other problems by representing each word-sense separately, but studies in this area are still in its infancy and much can be explored. We follow this scenario by proposing an unsupervised technique that disambiguates and annotates words by their specific sense, considering their context influence. These are later used to train a word embeddings model to produce a more accurate vector representation. We test our approach in 6 different benchmarks for the word similarity task, showing that our approach can sustain good results and often outperforms current state-of-the-art systems. ; https://deepblue.lib.umich.edu/bitstream/2027.42/145475/3/tacl.pdf ; Description of tacl.pdf : WorkingPaper
Keyword: Computer Science; Engineering; word similarity; Word2vec; wordnet; wsd
URL: https://hdl.handle.net/2027.42/145475
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9
Crowdsourcing lexical semantic judgements from bilingual dictionary users
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10
Uso de representaciones vectoriales de las palabras para la detección de dobles sentidos (puns)
Carrasco Gómez, Pascual Andrés. - : Universitat Politècnica de València, 2017
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11
Unsupervised all-words sense distribution learning
Bennett, Andrew. - 2016
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12
Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical Resources
In: Cognitive Studies | Études cognitives; No 15 (2015); 269-292 ; 2392-2397 (2015)
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13
Translation of keywords between English and Swedish ; Översättning av nyckelord mellan engelska och svenska
Klein Rosmar, Sander; Ahmady, Tobias. - : KTH, Data- och elektroteknik, 2014
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14
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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15
Désambiguisation de sens par modèles de contextes et son application à la Recherche d’Information
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16
Désambiguisation de sens par modèles de contextes et son application à la Recherche d’Information
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17
SemEval-2010 Task 2: Cross-Lingual Lexical Substitution
In: Association for Computational Linguistics (ACL) Workshop on Semantic Evaluations (SemEval), 2010, Uppsala, Sweden (2010)
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18
Word sense disambiguation: a survey
In: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf (2009)
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19
Regular Polysemy in WordNet
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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20
The Treatment of Word Sense Inventories in the ‘LACELL WSD Project’
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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