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

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dc.contributor.authorJorge Botana, Guillermo de
dc.contributor.authorOlmos, Ricardo
dc.contributor.authorMartínez Huertas, José Ángel
dc.contributor.authorLuzón Encabo, José María
dc.date.accessioned2024-05-20T11:49:33Z
dc.date.available2024-05-20T11:49:33Z
dc.date.issued2020-08-20
dc.description.abstractSome 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.en
dc.description.versionversión final
dc.identifier.doihttps://doi.org/10.3758/s13421-020-01086-6
dc.identifier.issn0090-502X; eISSN 1532-5946
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12601
dc.journal.titleMemory & Cognition
dc.journal.volume49
dc.language.isoen
dc.publisher['Springer', 'Psychonomic Society']
dc.relation.centerFacultad de Psicología
dc.relation.departmentMetodología de las Ciencias del Comportamiento
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.keywordsneural networks
dc.subject.keywordsemotional words
dc.subject.keywordsvector space models
dc.subject.keywordsmental lexicon
dc.subject.keywordsgrounded cognition
dc.titleRedundancy, Isomorphism and Propagative Mechanisms between Emotional and Amodal Representations of Words: A Computational Studyes
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
relation.isAuthorOfPublicationca510876-0be8-438a-a565-ac5f8953fb78
relation.isAuthorOfPublicationae067c9c-7016-4796-b36f-867de5fc4e07
relation.isAuthorOfPublication.latestForDiscoveryca510876-0be8-438a-a565-ac5f8953fb78
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