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Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers

Conference paper
Authors Yuri Bizzoni
Simon Dobnik
Published in Proceedings of the Second Workshop on Figurative Language Processing (FLP) at ACL-2020
ISBN 978-1-952148-12-5
Publisher Association for Computational Linguistics
Place of publication Online
Publication year 2020
Published at Department of Philosophy, Linguistics and Theory of Science
Language en
Links https://sites.google.com/view/figla...
https://www.aclweb.org/anthology/20...
https://gup.ub.gu.se/file/208187
Keywords metaphors, vision, language, compositionality, grounding
Subject categories Computational linguistics

Abstract

This work explores the differences and similarities between neural image classifiers' mis-categorisations and visually grounded metaphors - that we could conceive as intentional mis-categorisations. We discuss the possibility of using automatic image classifiers to approximate human metaphoric behaviours, and the limitations of such frame. We report two pilot experiments to study grounded metaphoricity. In the first we represent metaphors as a form of visual mis-categorisation. In the second we model metaphors as a more flexible, compositional operation in a continuous visual space generated from automatic classification systems.

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