@inproceedings{sogaard-2022-ban,
title = "Should We Ban {E}nglish {NLP} for a Year?",
author = "S{\o}gaard, Anders",
editor = "Goldberg, Yoav and
Kozareva, Zornitsa and
Zhang, Yue",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.emnlp-main.351",
doi = "10.18653/v1/2022.emnlp-main.351",
pages = "5254--5260",
abstract = "Around two thirds of NLP research at top venues is devoted exclusively to developing technology for speakers of English, most speech data comes from young urban speakers, and most texts used to train language models come from male writers. These biases feed into consumer technologies to widen existing inequality gaps, not only within, but also across, societies. Many have argued that it is almost impossible to mitigate inequality amplification. I argue that, on the contrary, it is quite simple to do so, and that counter-measures would have little-to-no negative impact, except for, perhaps, in the very short term.",
}
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%0 Conference Proceedings
%T Should We Ban English NLP for a Year?
%A Søgaard, Anders
%Y Goldberg, Yoav
%Y Kozareva, Zornitsa
%Y Zhang, Yue
%S Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates
%F sogaard-2022-ban
%X Around two thirds of NLP research at top venues is devoted exclusively to developing technology for speakers of English, most speech data comes from young urban speakers, and most texts used to train language models come from male writers. These biases feed into consumer technologies to widen existing inequality gaps, not only within, but also across, societies. Many have argued that it is almost impossible to mitigate inequality amplification. I argue that, on the contrary, it is quite simple to do so, and that counter-measures would have little-to-no negative impact, except for, perhaps, in the very short term.
%R 10.18653/v1/2022.emnlp-main.351
%U https://aclanthology.org/2022.emnlp-main.351
%U https://doi.org/10.18653/v1/2022.emnlp-main.351
%P 5254-5260
Markdown (Informal)
[Should We Ban English NLP for a Year?](https://aclanthology.org/2022.emnlp-main.351) (Søgaard, EMNLP 2022)
ACL
- Anders Søgaard. 2022. Should We Ban English NLP for a Year?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5254–5260, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.