Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models

Sujay Kumar Jauhar, Chris Dyer, Eduard Hovy


Anthology ID:
N15-1070
Volume:
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
May–June
Year:
2015
Address:
Denver, Colorado
Editors:
Rada Mihalcea, Joyce Chai, Anoop Sarkar
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
683–693
Language:
URL:
https://aclanthology.org/N15-1070
DOI:
10.3115/v1/N15-1070
Bibkey:
Cite (ACL):
Sujay Kumar Jauhar, Chris Dyer, and Eduard Hovy. 2015. Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 683–693, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models (Jauhar et al., NAACL 2015)
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PDF:
https://aclanthology.org/N15-1070.pdf