EMNLP 2021main4 citations
The Effect of Round-Trip Translation on Fairness in Sentiment Analysis
Jonathan Gabel Christiansen, Mathias Gammelgaard, Anders Søgaard
Abstract
Sentiment analysis systems have been shown to exhibit sensitivity to protected attributes. Round-trip translation, on the other hand, has been shown to normalize text. We explore the impact of round-trip translation on the demographic parity of sentiment classifiers and show how round-trip translation consistently improves classification fairness at test time (reducing up to 47% of between-group gaps). We also explore the idea of retraining sentiment classifiers on round-trip-translated data.
BibTeX
@inproceedings{christiansen-etal-2021-effect,
title = "The Effect of Round-Trip Translation on Fairness in Sentiment Analysis",
author = "Christiansen, Jonathan Gabel and
Gammelgaard, Mathias and
S{\o}gaard, Anders",
editor = "Moens, Marie-Francine and
Huang, Xuanjing and
Specia, Lucia and
Yih, Scott Wen-tau",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2021",
address = "Online and Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-main.363/",
doi = "10.18653/v1/2021.emnlp-main.363",
pages = "4423--4428"
}