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The Pennsylvania State University CiteSeerX Archives (19)
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This research is supported by the Ministry of Science & Technology, Israel, Grant 3-16464. (3)
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Hits 1 – 20 of 43
1
Word Sense Induction with Attentive Context Clustering
Stekel, Moshe
;
Azaria, Amos
;
Gordin, Shai
In: https://hal.archives-ouvertes.fr/hal-03586559 ; 2022 (2022)
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2
Word Sense Induction with Attentive Context Clustering
Stekel, Moshe
;
Azaria, Amos
;
Gordin, Shai
In: https://hal.inria.fr/hal-03586559 ; 2022 (2022)
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3
Word Sense Induction with Attentive Context Clustering
Azaria, Amos
;
Gordin, Shai
;
Stekel, Moshe
In: https://hal.archives-ouvertes.fr/hal-03586559 ; 2022 (2022)
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4
Event/Nonevent Noun Disambiguation Test Set ...
Vlasova, Natalia A
;
Serdyuk, Yury P
;
Suleymanova, Elena A
. - : Zenodo, 2020
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5
Event/Nonevent Noun Disambiguation Test Set ...
Vlasova, Natalia A
;
Serdyuk, Yury P
;
Suleymanova, Elena A
. - : Zenodo, 2020
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6
Russian Event Noun Disambiguation Test Set (6X200) ...
Trofimov, Igor V.
;
Vlasova, Natalia A.
;
Suleymanova, Elena A.
. - : Zenodo, 2018
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7
Russian Event Noun Disambiguation Test Set (6X200) ...
Trofimov, Igor V.
;
Vlasova, Natalia A.
;
Suleymanova, Elena A.
. - : Zenodo, 2018
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8
Multi-sense Embeddings through a Word Sense Disambiguation Process
Ruas, Terry
;
Grosky, William
;
Aizawa, Akiko
. - 2018
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9
Crowdsourcing lexical semantic judgements from bilingual dictionary users
Fothergill, Richard James
. - 2017
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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
Kędzia, Paweł
;
Piasecki, Maciej
;
Orlińska, Marlena
In: Cognitive Studies | Études cognitives; No 15 (2015); 269-292 ; 2392-2397 (2015)
Abstract:
Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical ResourcesLexical resources can be applied in many different Natural Language Engineering tasks, but the most fundamental task is the recognition of word senses used in text contexts. The problem is difficult, not yet fully solved and different lexical resources provided varied support for it. Polish CLARIN lexical semantic resources are based on the plWordNet — a very large wordnet for Polish — as a central structure which is a basis for linking together several resources of different types. In this paper, several Word Sense Disambiguation (henceforth WSD) methods developed for Polish that utilise plWordNet are discussed. Textual sense descriptions in the traditional lexicon can be compared with text contexts using Lesk’s algorithm in order to find best matching senses. In the case of a wordnet, lexico-semantic relations provide the main description of word senses. Thus, first, we adapted and applied to Polish a WSD method based on the Page Rank. According to it, text words are mapped on their senses in the plWordNet graph and Page Rank algorithm is run to find senses with the highest scores. The method presents results lower but comparable to those reported for English. The error analysis showed that the main problems are: fine grained sense distinctions in plWordNet and limited number of connections between words of different parts of speech. In the second approach plWordNet expanded with the mapping onto the SUMO ontology concepts was used. Two scenarios for WSD were investigated: two step disambiguation and disambiguation based on combined networks of plWordNet and SUMO. In the former scenario, words are first assigned SUMO concepts and next plWordNet senses are disambiguated. In latter, plWordNet and SUMO are combined in one large network used next for the disambiguation of senses. The additional knowledge sources used in WSD improved the performance. The obtained results and potential further lines of developments were discussed.
Keyword:
graphs
;
lexical resources
;
page rank
;
plWordNet
;
SUMO
;
word sense disambiguation
;
WSD
URL:
https://ispan.waw.pl/journals/index.php/cs-ec/article/view/cs.2015.019
https://doi.org/10.11649/cs.2015.019
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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
Mathieu Lafourcade
;
Alain Joubert
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
Brosseau-Villeneuve, Bernard
. - 2011
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16
Désambiguisation de sens par modèles de contextes et son application à la Recherche d’Information
Brosseau-Villeneuve, Bernard
. - 2010
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17
SemEval-2010 Task 2: Cross-Lingual Lexical Substitution
Mihalcea, Rada, 1974-
;
Sinha, Ravi
;
McCarthy, Diana
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
Roberto Navigli
In: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf (2009)
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19
Regular Polysemy in WordNet
Barque, Lucie
;
Chaumartin, François-Régis
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’
Almela, Moisés
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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