Distributional models of category concepts based on names of category members

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• dc.contributor.author Westera, Matthijs
• dc.contributor.author Gupta, Abhijee
• dc.contributor.author Boleda, Gemma
• dc.contributor.author Padó, Sebastian
• dc.date.accessioned 2021-09-27T11:33:34Z
• dc.date.available 2021-09-27T11:33:34Z
• dc.date.issued 2021
• dc.description.abstract Cognitive scientists have long used distributional semantic representations of categories. The predominant approach uses distributional representations of category-denoting nouns, such as “city” for the category city. We propose a novel scheme that represents categories as prototypes over representations of names of its members, such as “Barcelona,” “Mumbai,” and “Wuhan” for the category city. This name-based representation empirically outperforms the noun-based representation on two experiments (modeling human judgments of category relatedness and predicting category membership) with particular improvements for ambiguous nouns. We discuss the model complexity of both classes of models and argue that the name-based model has superior explanatory potential with regard to concept acquisition.
• dc.description.sponsorship Abhijeet Gupta and Sebastian Padó received funding from Deutsche Forschungsgemeinschaft (DFG) through Sonderforschungsbereich 732, project D10. Gemma Boleda and Matthijs Westera received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 715154) and the Catalan government (SGR 2017 1575). Gemma Boleda also received funding from the Ramón y Cajal program (grant RYC-2015-18907). Matthijs Westera also received funding from Leiden University (LUCL, SAILS). We gratefully acknowledge the support of NVIDIA Corporation with the donation of GPUs used for this research. 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.
• dc.format.mimetype application/pdf
• dc.identifier.citation Westera M, Gupta A, Boleda G, Padó S. Distributional models of category concepts based on names of category members. Cognitive science. 2021;45:e13029. DOI: 10.1111/cogs.13029
• dc.identifier.doi http://dx.doi.org/10.1111/cogs.13029
• dc.identifier.issn 0364-0213
• dc.identifier.uri http://hdl.handle.net/10230/48504
• dc.language.iso eng
• dc.publisher Wiley
• dc.relation.ispartof Cognitive science. 2021;45:e13029.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/715154
• dc.rights This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License,which permits use, distribution and reproduction in any medium, provided the original work is properly cited andis not used for commercial purposes
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/
• dc.subject.keyword Concepts
• dc.subject.keyword Distributional semantics
• dc.subject.keyword Prototype theory
• dc.subject.keyword Ambiguity
• dc.subject.keyword Relatedness
• dc.title Distributional models of category concepts based on names of category members
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion