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“Look, some green circles!”: learning to quantify from images

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dc.contributor.author Boleda, Gemma
dc.contributor.author Sorodoc, Ionut-Teodor
dc.contributor.author Lazaridou, Angeliki
dc.contributor.author Herbelot, Aurélie
dc.contributor.author Pezzelle, Sandro
dc.contributor.author Bernardi, Raffaella
dc.date.accessioned 2017-08-25T17:17:10Z
dc.date.available 2017-08-25T17:17:10Z
dc.date.issued 2016
dc.identifier.citation Sorodoc I, Lazaridou A, Boleda A, Herbelot A, Pezzelle S, Bernardi R. “Look, some green circles!”: learning to quantify from images. In: Proceedings of the 5th Workshop on Vision and Language (ACL 2016). Berlin: Association for Computational Linguistics; 2016. p. 75-79.
dc.identifier.uri http://hdl.handle.net/10230/32703
dc.description.abstract In this paper, we investigate whether a neural network model can learn the meaning of natural language quantifiers (no,some and all) from their use in visual contexts. We show that memory networks perform well in this task, and that explicit counting is not necessary to the system’s performance, supporting psycholinguistic evidence on the acquisition of quantifiers.
dc.description.sponsorship This project has received funding from the European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 655577 (LOVe); ERC 2011 Starting Independent Research Grant n. 283554 (COMPOSES).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACL (Association for Computational Linguistics)
dc.relation.ispartof Proceedings of the 5th Workshop on Vision and Language (ACL 2016). Berlin: Association for Computational Linguistics; 2016. p. 75-79
dc.rights © ACL, Creative Commons Attribution 4.0 License
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title “Look, some green circles!”: learning to quantify from images
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Language and vision
dc.subject.keyword Grounding
dc.subject.keyword Quantification
dc.subject.keyword Distributed representations
dc.subject.keyword Semantics
dc.subject.keyword Computational semantics
dc.subject.keyword Computational Linguistics
dc.subject.keyword Natural Language Processing
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/655577
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/283554
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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