@inproceedings{dehouck-etal-2020-efficient,
title = "Efficient {EUD} Parsing",
author = "Dehouck, Mathieu and
Anderson, Mark and
G{\'o}mez-Rodr{\'\i}guez, Carlos",
editor = "Bouma, Gosse and
Matsumoto, Yuji and
Oepen, Stephan and
Sagae, Kenji and
Seddah, Djam{\'e} and
Sun, Weiwei and
S{\o}gaard, Anders and
Tsarfaty, Reut and
Zeman, Dan",
booktitle = "Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.iwpt-1.20",
doi = "10.18653/v1/2020.iwpt-1.20",
pages = "192--205",
abstract = "We present the system submission from the FASTPARSE team for the EUD Shared Task at IWPT 2020. We engaged with the task by focusing on efficiency. For this we considered training costs and inference efficiency. Our models are a combination of distilled neural dependency parsers and a rule-based system that projects UD trees into EUD graphs. We obtained an average ELAS of 74.04 for our official submission, ranking 4th overall.",
}
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%0 Conference Proceedings
%T Efficient EUD Parsing
%A Dehouck, Mathieu
%A Anderson, Mark
%A Gómez-Rodríguez, Carlos
%Y Bouma, Gosse
%Y Matsumoto, Yuji
%Y Oepen, Stephan
%Y Sagae, Kenji
%Y Seddah, Djamé
%Y Sun, Weiwei
%Y Søgaard, Anders
%Y Tsarfaty, Reut
%Y Zeman, Dan
%S Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F dehouck-etal-2020-efficient
%X We present the system submission from the FASTPARSE team for the EUD Shared Task at IWPT 2020. We engaged with the task by focusing on efficiency. For this we considered training costs and inference efficiency. Our models are a combination of distilled neural dependency parsers and a rule-based system that projects UD trees into EUD graphs. We obtained an average ELAS of 74.04 for our official submission, ranking 4th overall.
%R 10.18653/v1/2020.iwpt-1.20
%U https://aclanthology.org/2020.iwpt-1.20
%U https://doi.org/10.18653/v1/2020.iwpt-1.20
%P 192-205
Markdown (Informal)
[Efficient EUD Parsing](https://aclanthology.org/2020.iwpt-1.20) (Dehouck et al., IWPT 2020)
ACL
- Mathieu Dehouck, Mark Anderson, and Carlos Gómez-Rodríguez. 2020. Efficient EUD Parsing. In Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, pages 192–205, Online. Association for Computational Linguistics.