From Speed to Car and Back: An Exploratory Study about Associations between Abstract Nouns and Images

Ludovica Cerini, Eliana Di Palma, Alessandro Lenci


Abstract
Abstract concepts, notwithstanding their lack of physical referents in real world, are grounded in sensorimotor experience. In fact, images depicting concrete entities may be associated to abstract concepts, both via direct and indirect grounding processes. However, what are the links connecting the concrete concepts represented by images and abstract ones is still unclear. To investigate these links, we conducted a preliminary study collecting word association data and image-abstract word pair ratings, to identify whether the associations between visual and verbal systems rely on the same conceptual mappings. The goal of this research is to understand to what extent linguistic associations could be confirmed with visual stimuli, in order to have a starting point for multimodal analysis of abstract and concrete concepts.
Anthology ID:
2022.clasp-1.9
Volume:
Proceedings of the 2022 CLASP Conference on (Dis)embodiment
Month:
September
Year:
2022
Address:
Gothenburg, Sweden
Editors:
Simon Dobnik, Julian Grove, Asad Sayeed
Venue:
CLASP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
80–88
Language:
URL:
https://aclanthology.org/2022.clasp-1.9
DOI:
Bibkey:
Cite (ACL):
Ludovica Cerini, Eliana Di Palma, and Alessandro Lenci. 2022. From Speed to Car and Back: An Exploratory Study about Associations between Abstract Nouns and Images. In Proceedings of the 2022 CLASP Conference on (Dis)embodiment, pages 80–88, Gothenburg, Sweden. Association for Computational Linguistics.
Cite (Informal):
From Speed to Car and Back: An Exploratory Study about Associations between Abstract Nouns and Images (Cerini et al., CLASP 2022)
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PDF:
https://aclanthology.org/2022.clasp-1.9.pdf