Instances and concepts in distributional space

Gemma Boleda, Abhijeet Gupta, Sebastian Padó


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.
Anthology ID:
E17-2013
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
79–85
Language:
URL:
https://aclanthology.org/E17-2013
DOI:
Bibkey:
Cite (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.
Cite (Informal):
Instances and concepts in distributional space (Boleda et al., EACL 2017)
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PDF:
https://preview.aclanthology.org/update-css-js/E17-2013.pdf