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dc.contributor.author | Sorodoc, Ionut-Teodor |
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dc.contributor.author | Pezzelle, Sandro |
dc.contributor.author | Bernardi, Raffaella |
dc.date | 2018 |
dc.identifier.citation | Pezzelle S, Sorodoc IT, Bernardi R. Comparatives, quantifiers, proportions: a multi-task model for the learning of quantities from vision. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; 2018 Jun 1-6; New Orleans, United States of America. Stroudsburg (PA): ACL; 2018. p. 419-30. |
dc.identifier.uri | http://hdl.handle.net/10230/42451 |
dc.format | application/pdf |
dc.language.iso | eng |
dc.publisher | ACL (Association for Computational Linguistics) |
dc.relation | Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; 2018 Jun 1-6; New Orleans, United States of America. Stroudsburg (PA): ACL; 2018. p. 419-30. |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/715154 |
dc.rights | © ACL, Creative Commons Attribution 4.0 License |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | http://creativecommons.org/licenses/by/4.0/ |
dc.subject | Deep learning |
dc.subject | Language and vision |
dc.subject | Quantifiers |
dc.subject | Computational semantics |
dc.subject | Computational linguistics |
dc.title | Comparatives, quantifiers, proportions: a multi-task model for the learning of quantities from vision |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.type | info:eu-repo/semantics/publishedVersion |
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