@inproceedings{bizzoni-dobnik-2020-sky,
title = "Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers",
author = "Bizzoni, Yuri and
Dobnik, Simon",
editor = "Klebanov, Beata Beigman and
Shutova, Ekaterina and
Lichtenstein, Patricia and
Muresan, Smaranda and
Wee, Chee and
Feldman, Anna and
Ghosh, Debanjan",
booktitle = "Proceedings of the Second Workshop on Figurative Language Processing",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.figlang-1.19",
doi = "10.18653/v1/2020.figlang-1.19",
pages = "126--135",
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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%0 Conference Proceedings
%T Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers
%A Bizzoni, Yuri
%A Dobnik, Simon
%Y Klebanov, Beata Beigman
%Y Shutova, Ekaterina
%Y Lichtenstein, Patricia
%Y Muresan, Smaranda
%Y Wee, Chee
%Y Feldman, Anna
%Y Ghosh, Debanjan
%S Proceedings of the Second Workshop on Figurative Language Processing
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F bizzoni-dobnik-2020-sky
%X 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.
%R 10.18653/v1/2020.figlang-1.19
%U https://aclanthology.org/2020.figlang-1.19
%U https://doi.org/10.18653/v1/2020.figlang-1.19
%P 126-135
Markdown (Informal)
[Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers](https://aclanthology.org/2020.figlang-1.19) (Bizzoni & Dobnik, Fig-Lang 2020)
ACL