@inproceedings{sakaguchi-etal-2017-error,
title = "Error-repair Dependency Parsing for Ungrammatical Texts",
author = "Sakaguchi, Keisuke and
Post, Matt and
Van Durme, Benjamin",
editor = "Barzilay, Regina and
Kan, Min-Yen",
booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
month = jul,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P17-2030",
doi = "10.18653/v1/P17-2030",
pages = "189--195",
abstract = "We propose a new dependency parsing scheme which jointly parses a sentence and repairs grammatical errors by extending the non-directional transition-based formalism of Goldberg and Elhadad (2010) with three additional actions: SUBSTITUTE, DELETE, INSERT. Because these actions may cause an infinite loop in derivation, we also introduce simple constraints that ensure the parser termination. We evaluate our model with respect to dependency accuracy and grammaticality improvements for ungrammatical sentences, demonstrating the robustness and applicability of our scheme.",
}
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%0 Conference Proceedings
%T Error-repair Dependency Parsing for Ungrammatical Texts
%A Sakaguchi, Keisuke
%A Post, Matt
%A Van Durme, Benjamin
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F sakaguchi-etal-2017-error
%X We propose a new dependency parsing scheme which jointly parses a sentence and repairs grammatical errors by extending the non-directional transition-based formalism of Goldberg and Elhadad (2010) with three additional actions: SUBSTITUTE, DELETE, INSERT. Because these actions may cause an infinite loop in derivation, we also introduce simple constraints that ensure the parser termination. We evaluate our model with respect to dependency accuracy and grammaticality improvements for ungrammatical sentences, demonstrating the robustness and applicability of our scheme.
%R 10.18653/v1/P17-2030
%U https://aclanthology.org/P17-2030
%U https://doi.org/10.18653/v1/P17-2030
%P 189-195
Markdown (Informal)
[Error-repair Dependency Parsing for Ungrammatical Texts](https://aclanthology.org/P17-2030) (Sakaguchi et al., ACL 2017)
ACL
- Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2017. Error-repair Dependency Parsing for Ungrammatical Texts. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 189–195, Vancouver, Canada. Association for Computational Linguistics.