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
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/P16-1013.pdf