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 |