@inproceedings{sun-etal-2022-reorder,
title = "Reorder and then Parse, Fast and Accurate Discontinuous Constituency Parsing",
author = "Sun, Kailai and
Li, Zuchao and
Zhao, Hai",
editor = "Goldberg, Yoav and
Kozareva, Zornitsa and
Zhang, Yue",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.emnlp-main.723",
doi = "10.18653/v1/2022.emnlp-main.723",
pages = "10575--10588",
abstract = "Discontinuous constituency parsing is still kept developing for its efficiency and accuracy are far behind its continuous counterparts. Motivated by the observation that a discontinuous constituent tree can be simply transformed into a pseudo-continuous one by artificially reordering words in the sentence, we propose a novel reordering method, thereby construct fast and accurate discontinuous constituency parsing systems working in continuous way. Specifically, we model the relative position changes of words as a list of actions. By parsing and performing this actions, the corresponding pseudo-continuous sequence is derived. Discontinuous parse tree can be further inferred via integrating a high-performance pseudo-continuous constituency parser. Our systems are evaluated on three classical discontinuous constituency treebanks, achieving new state-of-the-art on two treebanks and showing a distinct advantage in speed.",
}
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%0 Conference Proceedings
%T Reorder and then Parse, Fast and Accurate Discontinuous Constituency Parsing
%A Sun, Kailai
%A Li, Zuchao
%A Zhao, Hai
%Y Goldberg, Yoav
%Y Kozareva, Zornitsa
%Y Zhang, Yue
%S Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates
%F sun-etal-2022-reorder
%X Discontinuous constituency parsing is still kept developing for its efficiency and accuracy are far behind its continuous counterparts. Motivated by the observation that a discontinuous constituent tree can be simply transformed into a pseudo-continuous one by artificially reordering words in the sentence, we propose a novel reordering method, thereby construct fast and accurate discontinuous constituency parsing systems working in continuous way. Specifically, we model the relative position changes of words as a list of actions. By parsing and performing this actions, the corresponding pseudo-continuous sequence is derived. Discontinuous parse tree can be further inferred via integrating a high-performance pseudo-continuous constituency parser. Our systems are evaluated on three classical discontinuous constituency treebanks, achieving new state-of-the-art on two treebanks and showing a distinct advantage in speed.
%R 10.18653/v1/2022.emnlp-main.723
%U https://aclanthology.org/2022.emnlp-main.723
%U https://doi.org/10.18653/v1/2022.emnlp-main.723
%P 10575-10588
Markdown (Informal)
[Reorder and then Parse, Fast and Accurate Discontinuous Constituency Parsing](https://aclanthology.org/2022.emnlp-main.723) (Sun et al., EMNLP 2022)
ACL