Xudong Han, Timothy Baldwin, Trevor Cohn. Diverse Adversaries for Mitigating Bias in Training. In Paola Merlo, Jörg Tiedemann, Reut Tsarfaty, editors, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021. pages 2760-2765, Association for Computational Linguistics, 2021. [doi]
@inproceedings{HanBC21,
title = {Diverse Adversaries for Mitigating Bias in Training},
author = {Xudong Han and Timothy Baldwin and Trevor Cohn},
year = {2021},
url = {https://www.aclweb.org/anthology/2021.eacl-main.239/},
researchr = {https://researchr.org/publication/HanBC21},
cites = {0},
citedby = {0},
pages = {2760-2765},
booktitle = {Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021},
editor = {Paola Merlo and Jörg Tiedemann and Reut Tsarfaty},
publisher = {Association for Computational Linguistics},
isbn = {978-1-954085-02-2},
}