Título:
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Models of semantic representation with visual attribute
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Autor/a:
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Silberer, Carina; Ferrari, Vittorio; Lapata, Mirella
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Abstract:
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Comunicació presentada a: the 51st Annual Meeting of the Association for Computational Linguistics, celebrat del 4 al 9 d'agost de 2013 a Sofia, Bulgària. |
Abstract:
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We consider the problem of grounding the
meaning of words in the physical world
and focus on the visual modality which we
represent by visual attributes. We create
a new large-scale taxonomy of visual attributes
covering more than 500 concepts
and their corresponding 688K images. We
use this dataset to train attribute classifiers
and integrate their predictions with
text-based distributional models of word
meaning. We show that these bimodal
models give a better fit to human word association
data compared to amodal models
and word representations based on handcrafted
norming data. |
Derechos:
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© ACL, Creative Commons Attribution 3.0 License
https://creativecommons.org/licenses/by-nc-sa/3.0/
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Tipo de documento:
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Objeto de conferencia Artículo - Versión publicada |
Editor:
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ACL (Association for Computational Linguistics)
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Compartir:
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