Models of semantic representation with visual attribute
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- dc.contributor.author Silberer, Carina
- dc.contributor.author Ferrari, Vittorio
- dc.contributor.author Lapata, Mirella
- dc.date.accessioned 2019-06-26T13:55:28Z
- dc.date.available 2019-06-26T13:55:28Z
- dc.date.issued 2013
- dc.description 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.ca
- dc.description.abstract 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.
- dc.format.mimetype application/pdf
- dc.identifier.citation Silberer C, Ferrari V, Lapata M. Models of semantic representation with visual attribute. In: Schuetze H, Fung P, Poesio M, editors. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2013 Aug 4-9; Sofia, Bulgaria. Stroudsburg: ACL; 2013. p. 572-82.
- dc.identifier.uri http://hdl.handle.net/10230/41866
- dc.language.iso eng
- dc.publisher ACL (Association for Computational Linguistics)
- dc.relation.ispartof Schuetze H, Fung P, Poesio M, editors. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2013 Aug 4-9; Sofia, Bulgaria. Stroudsburg: ACL; 2013. p. 572-82.
- dc.rights © ACL, Creative Commons Attribution 3.0 License
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/3.0/
- dc.title Models of semantic representation with visual attribute
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/publishedVersion