Instances and concepts in distributional space

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  • dc.contributor.author Boleda, Gemmaca
  • dc.contributor.author Gupta, Abhijeetca
  • dc.contributor.author Padó, Sebastianca
  • dc.date.accessioned 2017-08-24T11:26:34Z
  • dc.date.available 2017-08-24T11:26:34Z
  • dc.date.issued 2017
  • dc.description Comunicació presentada a l'European Chapter of the Association for Computational Linguistics (EACL) celebrat a València, Espanya, del 2 al 6 de juny de 2017.
  • dc.description.abstract Instances (“Mozart”) are ontologically distinct from concepts or classes (“composer”). Natural language encompasses both, but instances have received comparatively little attention in distributional semantics. Our results show that instances and concepts differ in their distributional properties. We also establish that instantiation detection (“Mozart – composer”) is generally easier than hypernymy detection (“chemist – scientist”), and that results on the influence of input representation do not transfer from hyponymy to instantiation.en
  • dc.description.sponsorship The authors have received funding from DFG (SFB 732, project B9). and from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 715154; AMORE), as well as under the Marie Sklodowska-Curie grant agreement No 655577 (LOVe).
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Boleda G, Gupta A, Pado S. Instances and concepts in distributional space. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers; 2017 Apr 3-7; Valencia, Spain. Stroudsburg (PA): ACL; 2017. p. 79-85.
  • dc.identifier.uri http://hdl.handle.net/10230/32679
  • dc.language.iso eng
  • dc.publisher ACL (Association for Computational Linguistics)ca
  • dc.relation.ispartof Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers; 2017 Apr 3-7; Valencia, Spain. Stroudsburg (PA): ACL; 2017. p. 79-85.
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/715154
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/655577
  • dc.rights © ACL, Creative Commons Attribution 4.0 License
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0
  • dc.subject.keyword Distributional semanticsen
  • dc.title Instances and concepts in distributional spaceca
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/publishedVersion