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Similarity as a Window on the Dimensions of Object Representation

Love, BC; Roads, BD; (2021) Similarity as a Window on the Dimensions of Object Representation. Trends in Cognitive Sciences , 25 (2) pp. 94-96. 10.1016/j.tics.2020.12.003. Green open access

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Abstract

Hebart et al. recently analysed 1.5 million human similarity judgments and found that natural objects are described by a small set of interpretable dimensions. Such large-scale analyses offer new opportunities to characterise how people represent their knowledge, but also challenges, including scaling to even larger data sets and integrating accounts of semantic representation.

Type: Article
Title: Similarity as a Window on the Dimensions of Object Representation
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.tics.2020.12.003
Publisher version: https://doi.org/10.1016/j.tics.2020.12.003
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: big data, embedding spaces, knowledge representation, multidimensional scaling, similarity
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
URI: https://discovery.ucl.ac.uk/id/eprint/10119586
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