@inproceedings{briakou-etal-2021-ola,
title = "Ol{\'a}, Bonjour, Salve! {XFORMAL}: A Benchmark for Multilingual Formality Style Transfer",
author = "Briakou, Eleftheria and
Lu, Di and
Zhang, Ke and
Tetreault, Joel",
editor = "Toutanova, Kristina and
Rumshisky, Anna and
Zettlemoyer, Luke and
Hakkani-Tur, Dilek and
Beltagy, Iz and
Bethard, Steven and
Cotterell, Ryan and
Chakraborty, Tanmoy and
Zhou, Yichao",
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.naacl-main.256",
doi = "10.18653/v1/2021.naacl-main.256",
pages = "3199--3216",
abstract = "We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese, French, and Italian. Results on XFORMAL suggest that state-of-the-art style transfer approaches perform close to simple baselines, indicating that style transfer is even more challenging when moving multilingual.",
}
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%0 Conference Proceedings
%T Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer
%A Briakou, Eleftheria
%A Lu, Di
%A Zhang, Ke
%A Tetreault, Joel
%Y Toutanova, Kristina
%Y Rumshisky, Anna
%Y Zettlemoyer, Luke
%Y Hakkani-Tur, Dilek
%Y Beltagy, Iz
%Y Bethard, Steven
%Y Cotterell, Ryan
%Y Chakraborty, Tanmoy
%Y Zhou, Yichao
%S Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F briakou-etal-2021-ola
%X We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese, French, and Italian. Results on XFORMAL suggest that state-of-the-art style transfer approaches perform close to simple baselines, indicating that style transfer is even more challenging when moving multilingual.
%R 10.18653/v1/2021.naacl-main.256
%U https://aclanthology.org/2021.naacl-main.256
%U https://doi.org/10.18653/v1/2021.naacl-main.256
%P 3199-3216
Markdown (Informal)
[Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer](https://aclanthology.org/2021.naacl-main.256) (Briakou et al., NAACL 2021)
ACL