Redundancy, Isomorphism and Propagative Mechanisms between Emotional and Amodal Representations of Words: A Computational Study

Martínez-Huertas, José Ángel, Jorge-Botana, Guillermo, Luzón, José María y Olmos,Ricardo . (2020) Redundancy, Isomorphism and Propagative Mechanisms between Emotional and Amodal Representations of Words: A Computational Study. Memory & Cognition

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Título Redundancy, Isomorphism and Propagative Mechanisms between Emotional and Amodal Representations of Words: A Computational Study
Autor(es) Martínez-Huertas, José Ángel
Jorge-Botana, Guillermo
Luzón, José María
Olmos,Ricardo
Materia(s) Psicología
Abstract Some proposals claim that language acts as a link to propagate emotional and other modal information. Thus, there is an eminently amodal path of emotional propagation in the mental lexicon. Following these proposals, we present a computational model that emulates a linking mechanism (mapping function) between emotional and amodal representations of words using vector space models, emotional feature-based models, and neural networks. We analyzed three central concepts within the embodiment debate (redundancy, isomorphism, and propagative mechanisms) comparing two alternative hypotheses: semantic neighborhood hypothesis vs. specific dimensionality hypothesis. Univariate and multivariate neural networks were trained for dimensional (N=11,357) and discrete emotions (N=2,266), and later we analyzed its predictions in a test set (N=4,167 and N=875, respectively). We showed how this computational model could propagate emotional responses to words without a direct emotional experience via amodal propagation, but no direct relations were found between emotional rates and amodal distances. Thereby, we found that there were clear redundancy and propagative mechanisms, but no isomorphism should be assumed. Results suggested that it was necessary to establish complex links to go beyond amodal distances of vector spaces. In this way, although the emotional rates of semantic neighborhoods could predict the emotional rates of target words, the mapping function of specific amodal features seemed to simulate emotional responses better. Thus, both hypotheses would not be mutually exclusive. We also showed that discrete emotions could have simpler relations between modal and amodal representations than dimensional emotions. All these results and their theoretical implications are discussed.
Palabras clave neural networks
emotional words
vector space models
mental lexicon
grounded cognition
Editor(es) Springer
Psychonomic Society
Fecha 2020-08-20
Formato application/pdf
Identificador bibliuned:DptoMCC-FPSI-Articulos-Jamartinez-0030
http://e-spacio.uned.es/fez/view/bibliuned:DptoMCC-FPSI-Articulos-Jamartinez-0030
DOI - identifier https://doi.org/10.3758/s13421-020-01086-6
ISSN - identifier 0090-502X; eISSN 1532-5946
Nombre de la revista Memory & Cognition
Número de Volumen 49
Página inicial 219
Página final 234
Publicado en la Revista Memory & Cognition
Idioma eng
Versión de la publicación acceptedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales La versión registrada de este artículo, publicado por primera vez en Memory & Cognition (2021) 49 p. 219–234, está disponible en línea en el sitio web del editor: Springer / Psychonomic Society; https://doi.org/10.3758/s13421-020-01086-6
Notas adicionales The registered version of this paper, first published in Memory & Cognition (2021) 49 p. 219–234, is available online at the publisher's website: Springer/Psychonomic Society; https://doi.org/10.3758/s13421-020-01086-6

 
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Creado: Fri, 01 Mar 2024, 21:49:07 CET