@inproceedings{anderson-etal-2021-falta,
title = "A Falta de Pan, Buenas Son Tortas: The Efficacy of Predicted {UPOS} Tags for Low Resource {UD} Parsing",
author = "Anderson, Mark and
Dehouck, Mathieu and
G{\'o}mez-Rodr{\'\i}guez, Carlos",
editor = "Oepen, Stephan and
Sagae, Kenji and
Tsarfaty, Reut and
Bouma, Gosse and
Seddah, Djam{\'e} and
Zeman, Daniel",
booktitle = "Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.iwpt-1.8",
doi = "10.18653/v1/2021.iwpt-1.8",
pages = "78--83",
abstract = "We evaluate the efficacy of predicted UPOS tags as input features for dependency parsers in lower resource settings to evaluate how treebank size affects the impact tagging accuracy has on parsing performance. We do this for real low resource universal dependency treebanks, artificially low resource data with varying treebank sizes, and for very small treebanks with varying amounts of augmented data. We find that predicted UPOS tags are somewhat helpful for low resource treebanks, especially when fewer fully-annotated trees are available. We also find that this positive impact diminishes as the amount of data increases.",
}
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%0 Conference Proceedings
%T A Falta de Pan, Buenas Son Tortas: The Efficacy of Predicted UPOS Tags for Low Resource UD Parsing
%A Anderson, Mark
%A Dehouck, Mathieu
%A Gómez-Rodríguez, Carlos
%Y Oepen, Stephan
%Y Sagae, Kenji
%Y Tsarfaty, Reut
%Y Bouma, Gosse
%Y Seddah, Djamé
%Y Zeman, Daniel
%S Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F anderson-etal-2021-falta
%X We evaluate the efficacy of predicted UPOS tags as input features for dependency parsers in lower resource settings to evaluate how treebank size affects the impact tagging accuracy has on parsing performance. We do this for real low resource universal dependency treebanks, artificially low resource data with varying treebank sizes, and for very small treebanks with varying amounts of augmented data. We find that predicted UPOS tags are somewhat helpful for low resource treebanks, especially when fewer fully-annotated trees are available. We also find that this positive impact diminishes as the amount of data increases.
%R 10.18653/v1/2021.iwpt-1.8
%U https://aclanthology.org/2021.iwpt-1.8
%U https://doi.org/10.18653/v1/2021.iwpt-1.8
%P 78-83
Markdown (Informal)
[A Falta de Pan, Buenas Son Tortas: The Efficacy of Predicted UPOS Tags for Low Resource UD Parsing](https://aclanthology.org/2021.iwpt-1.8) (Anderson et al., IWPT 2021)
ACL