Transductive Auxiliary Task Self-Training for Neural Multi-Task Models

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. / Bjerva, Johannes; Kann, Katharina ; Augenstein, Isabelle.

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo). Association for Computational Linguistics, 2019. p. 253–258.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Bjerva, J, Kann, K & Augenstein, I 2019, Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. in Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo). Association for Computational Linguistics, pp. 253–258, 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo), Hong Kong, China, 03/11/2019.

APA

Bjerva, J., Kann, K., & Augenstein, I. (2019). Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. In Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo) (pp. 253–258). Association for Computational Linguistics.

Vancouver

Bjerva J, Kann K, Augenstein I. Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. In Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo). Association for Computational Linguistics. 2019. p. 253–258

Author

Bjerva, Johannes ; Kann, Katharina ; Augenstein, Isabelle. / Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo). Association for Computational Linguistics, 2019. pp. 253–258

Bibtex

@inproceedings{b543008a7f144735994e8b75de96d339,
title = "Transductive Auxiliary Task Self-Training for Neural Multi-Task Models",
author = "Johannes Bjerva and Katharina Kann and Isabelle Augenstein",
year = "2019",
language = "English",
pages = "253–258",
booktitle = "Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo)",
publisher = "Association for Computational Linguistics",
note = "null ; Conference date: 03-11-2019 Through 03-11-2019",

}

RIS

TY - GEN

T1 - Transductive Auxiliary Task Self-Training for Neural Multi-Task Models

AU - Bjerva, Johannes

AU - Kann, Katharina

AU - Augenstein, Isabelle

PY - 2019

Y1 - 2019

M3 - Article in proceedings

SP - 253

EP - 258

BT - Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo)

PB - Association for Computational Linguistics

Y2 - 3 November 2019 through 3 November 2019

ER -

ID: 239206585