@inproceedings{fernandez-gonzalez-gomez-rodriguez-2018-non,
title = "Non-Projective Dependency Parsing with Non-Local Transitions",
author = "Fern{\'a}ndez-Gonz{\'a}lez, Daniel and
G{\'o}mez-Rodr{\'\i}guez, Carlos",
editor = "Walker, Marilyn and
Ji, Heng and
Stent, Amanda",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-2109",
doi = "10.18653/v1/N18-2109",
pages = "693--700",
abstract = "We present a novel transition system, based on the Covington non-projective parser, introducing non-local transitions that can directly create arcs involving nodes to the left of the current focus positions. This avoids the need for long sequences of No-Arcs transitions to create long-distance arcs, thus alleviating error propagation. The resulting parser outperforms the original version and achieves the best accuracy on the Stanford Dependencies conversion of the Penn Treebank among greedy transition-based parsers.",
}
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%0 Conference Proceedings
%T Non-Projective Dependency Parsing with Non-Local Transitions
%A Fernández-González, Daniel
%A Gómez-Rodríguez, Carlos
%Y Walker, Marilyn
%Y Ji, Heng
%Y Stent, Amanda
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F fernandez-gonzalez-gomez-rodriguez-2018-non
%X We present a novel transition system, based on the Covington non-projective parser, introducing non-local transitions that can directly create arcs involving nodes to the left of the current focus positions. This avoids the need for long sequences of No-Arcs transitions to create long-distance arcs, thus alleviating error propagation. The resulting parser outperforms the original version and achieves the best accuracy on the Stanford Dependencies conversion of the Penn Treebank among greedy transition-based parsers.
%R 10.18653/v1/N18-2109
%U https://aclanthology.org/N18-2109
%U https://doi.org/10.18653/v1/N18-2109
%P 693-700
Markdown (Informal)
[Non-Projective Dependency Parsing with Non-Local Transitions](https://aclanthology.org/N18-2109) (Fernández-González & Gómez-Rodríguez, NAACL 2018)
ACL
- Daniel Fernández-González and Carlos Gómez-Rodríguez. 2018. Non-Projective Dependency Parsing with Non-Local Transitions. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 693–700, New Orleans, Louisiana. Association for Computational Linguistics.