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Measuring associational thinking through word embeddings

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Measuring associational thinking through word embeddings

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Periñán-Pascual, C. (2022). Measuring associational thinking through word embeddings. Artificial Intelligence Review. 55(3):2065-2102. https://doi.org/10.1007/s10462-021-10056-6

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Título: Measuring associational thinking through word embeddings
Autor: Periñán-Pascual, Carlos
Entidad UPV: Universitat Politècnica de València. Departamento de Lingüística Aplicada - Departament de Lingüística Aplicada
Fecha difusión:
Resumen:
[EN] The development of a model to quantify semantic similarity and relatedness between words has been the major focus of many studies in various fields, e.g. psychology, linguistics, and natural language processing. Unlike ...[+]
Palabras clave: Association measure , Neural network , Word embedding , Word2Vec , GloVe , FastText
Derechos de uso: Reconocimiento (by)
Fuente:
Artificial Intelligence Review. (issn: 0269-2821 )
DOI: 10.1007/s10462-021-10056-6
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s10462-021-10056-6
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-112827GB-I00/ES/SISTEMA INTELIGENTE MULTIMODAL BASADO EN CROWDSENSING PARA UN SERVICIO DE PREDICCION DE PROBLEMAS SOCIALES/
info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//RTC-2017-6389-5-AR//PLANIFICACIÓN Y GESTIÓN DE RECURSOS HÍDRICOS A PARTIR DE ANÁLISIS DE DATOS DE IOT/
info:eu-repo/grantAgreement/EC/H2020/101017861/EU
Agradecimientos:
s Financial support for this research has been provided by the Spanish Ministry of Science, Innovation and Universities [grant number RTC 2017-6389-5], the Spanish ¿Agencia Estatal de Investigación¿ [grant number ...[+]
Tipo: Artículo

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