A closer look at scalar diversity using contextualized semantic similarity

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• dc.contributor.author Westera, Matthijs
• dc.contributor.author Boleda, Gemma
• dc.date.accessioned 2022-03-07T07:31:13Z
• dc.date.available 2022-03-07T07:31:13Z
• dc.date.issued 2020
• dc.description Comunicació presentada a la 24th Sinn und Bedeutung Conference, SuB24, celebrada del 4 al 6 de setembre de 2019 a la Universitat d'Osnabrück, Alemania.
• dc.description.abstract We take a closer look at van Tiel et al.’s (2016) experimental results on diversity in scalar inference rates. In contrast to their finding that semantic similarity had no significant effect on scalar inference rates, we show that a sufficiently fine-grained notion of semantic similarity does have an effect: the more similar the two terms on a scale, the lower the scalar inference rate. Moreover, we show that a context-sensitive notion of semantic similarity (in particular ELMo; Peters et al., 2018) can explain more of the variance in the data, but only modestly, only for stimuli that contain informative context words, and only when the scalar terms themselves are sufficiently context-sensitive.
• dc.description.sponsorship This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 715154). This paper reflects the authors’ view only, and the EU is not responsible for any use that may be made of the information it contains. This project has also received funding from the Ramon y Cajal programme (grant RYC-2015-18907) and from the Catalan government (SGR 2017 1575).
• dc.format.mimetype application/pdf
• dc.identifier.citation Westera M, Boleda G. A closer look at scalar diversity using contextualized semantic similarity. Proceedings of Sinn und Bedeutung. 2020;24(2):439-54. DOI: 10.18148/sub/2020.v24i2.908
• dc.identifier.doi http://dx.doi.org/10.18148/sub/2020.v24i2.908
• dc.identifier.issn 2629-6055
• dc.identifier.uri http://hdl.handle.net/10230/52627
• dc.language.iso eng
• dc.publisher University of Konstanz
• dc.relation.ispartof Proceedings of Sinn und Bedeutung. 2020;24(2):439-54
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/715154
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/2015-18907
• dc.rights Copyright (c) 2020, Matthijs Westera, Gemma Boleda. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0
• dc.subject.keyword Scalar inference
• dc.subject.keyword Scalar diversity
• dc.subject.keyword Semantic similarity
• dc.subject.keyword Relevance
• dc.subject.keyword Distributional semantics
• dc.subject.keyword Context
• dc.title A closer look at scalar diversity using contextualized semantic similarity
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion