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Grant: Discovery Grants Program - Individual

Queen's University

$60,000.00

Exploring Better Distributed Representation and Composition Models for Semantics

EF 2021-22

Résumé
distributed representation; natural language processing; neural network models; recognizing textual entailment; representation learning; semantic composition; semantics; sentiment analysis
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2018-06415
Name nom
Zhu, Xiaodan
Department département
Electrical and Computer Engineering
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2018
Award amount
60000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2801
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Natural language and speech understanding
Research subject fr
Langage naturel et reconnaissance de la parole
Installment
inst:4
Partie
1
Nb partie
5
Application title
Exploring Better Distributed Representation and Composition Models for Semantics
Keyword
NSERC
Application summary
distributed representation; natural language processing; neural network models; recognizing textual entailment; representation learning; semantic composition; semantics; sentiment analysis