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Towards a unified model of semantic memory: validation and theoretical implications of the conceptual feature rating space

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Pages 698-709 | Received 21 Mar 2017, Accepted 15 Nov 2017, Published online: 01 Dec 2017
 

ABSTRACT

The representation of abstract and concrete concepts has long been a debated question in the literature. In previous work, we created a semantic space which was able to model abstract and concrete concepts in a single multidimensional space. In this study, we tested the validity of our semantic space by comparing it with Latent Semantic Analysis in a word relatedness task during eyetracking. We measured reaction time, gaze measures, and pupil dilation. The results of our study revealed that the newly created space was valid and not just a product of our data. Our ability to simulate a high dimensional semantic space represents a step forward in our understanding of the representation of concepts.

Disclosure statement

No potential conflict of interest was reported by the authors.

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