NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts

Yue Zhang, Bo Zhang, Haochen Jiang, Zhenghua Li, Chen Li, Fei Huang, Min Zhang. NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 9935-9951, Association for Computational Linguistics, 2023. [doi]

@inproceedings{ZhangZJLLHZ23,
  title = {NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts},
  author = {Yue Zhang and Bo Zhang and Haochen Jiang and Zhenghua Li and Chen Li and Fei Huang and Min Zhang},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.630},
  researchr = {https://researchr.org/publication/ZhangZJLLHZ23},
  cites = {0},
  citedby = {0},
  pages = {9935-9951},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-62-3},
}