Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning

Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney, Chris Dyer


Anthology ID:
P16-1013
Volume:
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Katrin Erk, Noah A. Smith
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
130–139
Language:
URL:
https://aclanthology.org/P16-1013
DOI:
10.18653/v1/P16-1013
Bibkey:
Cite (ACL):
Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney, and Chris Dyer. 2016. Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 130–139, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning (Tsvetkov et al., ACL 2016)
Copy Citation:
PDF:
https://aclanthology.org/P16-1013.pdf