Distributional semantics in use

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dc.contributor.author	Boleda, Gemma
dc.contributor.author	Bernardi, Raffaella
dc.contributor.author	Fernández, Raquel
dc.contributor.author	Paperno, Denis
dc.date	2015
dc.identifier.citation	Bernardi R, Boleda G, Fernandez R, Paperno D. Distributional semantics in use. In: Roth M, Louis A, Webber B, Baldwin T, editors. Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics. Lisbon: Association for Computational Linguistics; 2015. p. 95-101.
dc.identifier.uri	http://hdl.handle.net/10230/32705
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	ACL (Association for Computational Linguistics)
dc.relation	Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics. Lisbon: Association for Computational Linguistics; 2015. p. 95-101
dc.relation	info:eu-repo/grantAgreement/EC/H2020/655577
dc.relation	info:eu-repo/grantAgreement/EC/FP7/283554
dc.rights	© ACL, Creative Commons Attribution-NonCommercial-ShareAlike3.0
dc.rights	https://creativecommons.org/licenses/by-nc-sa/3.0/
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Distributional semantics
dc.subject	Semantics
dc.subject	Computational semantics
dc.subject	Computational Linguistics
dc.subject	Natural Language Processing
dc.title	Distributional semantics in use
dc.type	info:eu-repo/semantics/conferenceObject
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	In this position paper we argue that an adequate semantic model must account for language in use, taking into account how discourse context affects the meaning of words and larger linguistic units. Distributional semantic models are very attractive models of meaning mainly because they capture conceptual aspects and are automatically induced from natural language data. However, they need to be extended in order to account for language use in a discourse or dialogue context. We discuss phenomena that the new generation of distributional semantic models should capture, and propose concrete tasks on which they could be tested.
dc.description.abstract	This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 655577 (LOVe), FP7 programme ERC 2011 Starting Independent Research Grant n. 283554 (COMPOSES), and the Netherlands Organization for Scientific Research (NWO).

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