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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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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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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
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9
Crowdsourcing lexical semantic judgements from bilingual dictionary users
Abstract: © 2017 Dr. Richard James Fothergill ; Words can take on many meanings, and collecting and identifying example usages representative of the full variety of meanings words can take is a bottleneck to the study of lexical semantics using statistical approaches. To perform supervised word sense disambiguation (WSD), or to evaluate knowledge-based methods, a corpus of texts annotated with senses from a dictionary may be constructed by paid experts. However, the cost usually prohibits more than a small sample of words and senses being represented in the corpus. Crowdsourcing methods promise to acquire data more cheaply, albeit with a greater challenge for quality control. Most crowdsourcing to date has incentivised participation in the form of a payment or by gamification of the resource construction task. However, with paid crowdsourcing the cost of human labour scales linearly with the output size, and while game playing volunteers may be free, gamification studies must compete with a multi-billion dollar games industry for players. In this thesis we develop and evaluate resources for computational semantics, working towards a crowdsourcing method that extracts information from naturally occurring human activities. A number of software products exist for glossing Japanese text with entries from a dictionary for English speaking students. However, the most popular ones have a tendency to either present an overwhelming amount of information containing every sense of every word or else hide too much information and risk removing senses with particular relevance to a specific text. By offering a glossing application with interactive features for exploring word senses, we create an opportunity to crowdsource human judgements about word senses and record human interaction with semantic NLP.
Keyword: computational lexical semantics; crowdsourcing; glossing; Japanese-English dictionary; lexical segmentation; multiword expressions; MWE disambiguation; MWEs; natural language processing; tokenisation; word sense disambiguation; WSD
URL: http://hdl.handle.net/11343/194282
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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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