@inproceedings{namysl-etal-2021-empirical,
title = "Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling",
author = {Namysl, Marcin and
Behnke, Sven and
K{\"o}hler, Joachim},
editor = "Zong, Chengqing and
Xia, Fei and
Li, Wenjie and
Navigli, Roberto",
booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.findings-acl.27",
doi = "10.18653/v1/2021.findings-acl.27",
pages = "314--329",
}
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%0 Conference Proceedings
%T Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling
%A Namysl, Marcin
%A Behnke, Sven
%A Köhler, Joachim
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F namysl-etal-2021-empirical
%R 10.18653/v1/2021.findings-acl.27
%U https://aclanthology.org/2021.findings-acl.27
%U https://doi.org/10.18653/v1/2021.findings-acl.27
%P 314-329
Markdown (Informal)
[Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling](https://aclanthology.org/2021.findings-acl.27) (Namysl et al., Findings 2021)
ACL