Abstract
There has been much recent progress in natural language processing, and grammatical error correction (GEC) is no exception. We found that state-of-the-art GEC systems (T5 and GECToR) outperform humans by a wide margin on the CoNLL-2014 test set, a benchmark GEC test corpus, as measured by the standard F0.5 evaluation metric. However, a careful examination of their outputs reveals that there are still classes of errors that they fail to correct. This suggests that creating new test data that more accurately measure the true performance of GEC systems constitutes important future work.- Anthology ID:
- 2022.coling-1.246
- Volume:
- Proceedings of the 29th International Conference on Computational Linguistics
- Month:
- October
- Year:
- 2022
- Address:
- Gyeongju, Republic of Korea
- Editors:
- Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 2794–2800
- Language:
- URL:
- https://aclanthology.org/2022.coling-1.246
- DOI:
- Bibkey:
- Cite (ACL):
- Muhammad Reza Qorib and Hwee Tou Ng. 2022. Grammatical Error Correction: Are We There Yet?. In Proceedings of the 29th International Conference on Computational Linguistics, pages 2794–2800, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
- Cite (Informal):
- Grammatical Error Correction: Are We There Yet? (Qorib & Ng, COLING 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.coling-1.246.pdf
- Data
- JFLEG
Export citation
@inproceedings{qorib-ng-2022-grammatical,
title = "Grammatical Error Correction: Are We There Yet?",
author = "Qorib, Muhammad Reza and
Ng, Hwee Tou",
editor = "Calzolari, Nicoletta and
Huang, Chu-Ren and
Kim, Hansaem and
Pustejovsky, James and
Wanner, Leo and
Choi, Key-Sun and
Ryu, Pum-Mo and
Chen, Hsin-Hsi and
Donatelli, Lucia and
Ji, Heng and
Kurohashi, Sadao and
Paggio, Patrizia and
Xue, Nianwen and
Kim, Seokhwan and
Hahm, Younggyun and
He, Zhong and
Lee, Tony Kyungil and
Santus, Enrico and
Bond, Francis and
Na, Seung-Hoon",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.246",
pages = "2794--2800",
abstract = "There has been much recent progress in natural language processing, and grammatical error correction (GEC) is no exception. We found that state-of-the-art GEC systems (T5 and GECToR) outperform humans by a wide margin on the CoNLL-2014 test set, a benchmark GEC test corpus, as measured by the standard F0.5 evaluation metric. However, a careful examination of their outputs reveals that there are still classes of errors that they fail to correct. This suggests that creating new test data that more accurately measure the true performance of GEC systems constitutes important future work.",
}
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%0 Conference Proceedings %T Grammatical Error Correction: Are We There Yet? %A Qorib, Muhammad Reza %A Ng, Hwee Tou %Y Calzolari, Nicoletta %Y Huang, Chu-Ren %Y Kim, Hansaem %Y Pustejovsky, James %Y Wanner, Leo %Y Choi, Key-Sun %Y Ryu, Pum-Mo %Y Chen, Hsin-Hsi %Y Donatelli, Lucia %Y Ji, Heng %Y Kurohashi, Sadao %Y Paggio, Patrizia %Y Xue, Nianwen %Y Kim, Seokhwan %Y Hahm, Younggyun %Y He, Zhong %Y Lee, Tony Kyungil %Y Santus, Enrico %Y Bond, Francis %Y Na, Seung-Hoon %S Proceedings of the 29th International Conference on Computational Linguistics %D 2022 %8 October %I International Committee on Computational Linguistics %C Gyeongju, Republic of Korea %F qorib-ng-2022-grammatical %X There has been much recent progress in natural language processing, and grammatical error correction (GEC) is no exception. We found that state-of-the-art GEC systems (T5 and GECToR) outperform humans by a wide margin on the CoNLL-2014 test set, a benchmark GEC test corpus, as measured by the standard F0.5 evaluation metric. However, a careful examination of their outputs reveals that there are still classes of errors that they fail to correct. This suggests that creating new test data that more accurately measure the true performance of GEC systems constitutes important future work. %U https://aclanthology.org/2022.coling-1.246 %P 2794-2800
Markdown (Informal)
[Grammatical Error Correction: Are We There Yet?](https://aclanthology.org/2022.coling-1.246) (Qorib & Ng, COLING 2022)
- Grammatical Error Correction: Are We There Yet? (Qorib & Ng, COLING 2022)
ACL
- Muhammad Reza Qorib and Hwee Tou Ng. 2022. Grammatical Error Correction: Are We There Yet?. In Proceedings of the 29th International Conference on Computational Linguistics, pages 2794–2800, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.