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    <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.</abstract>
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%0 Conference Proceedings
%T Instances and concepts in distributional space
%A Boleda, Gemma
%A Gupta, Abhijeet
%A Padó, Sebastian
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
%D 2017
%8 apr
%I Association for Computational Linguistics
%C Valencia, Spain
%F boleda-etal-2017-instances
%X 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.
%U https://aclanthology.org/E17-2013
%P 79-85

Markdown (Informal)

[Instances and concepts in distributional space](https://aclanthology.org/E17-2013) (Boleda et al., EACL 2017)

• Instances and concepts in distributional space (Boleda et al., EACL 2017)

ACL

• Gemma Boleda, Abhijeet Gupta, and Sebastian Padó. 2017. 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, pages 79–85, Valencia, Spain. Association for Computational Linguistics.