基于字词粒度噪声数据增强的中文语法纠错(Chinese Grammatical Error Correction enhanced by Data Augmentation from Word and Character Levels)
Zecheng Tang (汤泽成), Yixin Ji (纪一心), Yibo Zhao (赵怡博), Junhui Li (李军辉)
Abstract
语法纠错是自然语言处理领域的热门任务之一,其目的是将错误的句子修改为正确的句子。为了缓解中文训练语料不足的问题,本文从数据增强的角度出发,提出一种新颖的扩充和增强数据的方法。具体地,为了使模型能更好地获取不同类型和不同粒度的错误,本文首先对语法纠错中出现的错误进行了字和词粒度的分类,在此基础上提出了融合字词粒度噪声的数据增强方法,以此获得大规模且质量较高的错误数据集。基于NLPCC2018共享任务的实验结果表明,本文提出的融合字词粒度加噪方法能够显著提升模型的性能,在该数据集上达到了最优的性能。最后,本文分析了错误类型和数据规模对中文语法纠错模型性能的影响。- Anthology ID:
- 2021.ccl-1.73
- Volume:
- Proceedings of the 20th Chinese National Conference on Computational Linguistics
- Month:
- August
- Year:
- 2021
- Address:
- Huhhot, China
- Editors:
- Sheng Li (李生), Maosong Sun (孙茂松), Yang Liu (刘洋), Hua Wu (吴华), Kang Liu (刘康), Wanxiang Che (车万翔), Shizhu He (何世柱), Gaoqi Rao (饶高琦)
- Venue:
- CCL
- SIG:
- Publisher:
- Chinese Information Processing Society of China
- Note:
- Pages:
- 813–824
- Language:
- Chinese
- URL:
- https://aclanthology.org/2021.ccl-1.73
- DOI:
- Cite (ACL):
- Zecheng Tang, Yixin Ji, Yibo Zhao, and Junhui Li. 2021. 基于字词粒度噪声数据增强的中文语法纠错(Chinese Grammatical Error Correction enhanced by Data Augmentation from Word and Character Levels). In Proceedings of the 20th Chinese National Conference on Computational Linguistics, pages 813–824, Huhhot, China. Chinese Information Processing Society of China.
- Cite (Informal):
- 基于字词粒度噪声数据增强的中文语法纠错(Chinese Grammatical Error Correction enhanced by Data Augmentation from Word and Character Levels) (Tang et al., CCL 2021)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2021.ccl-1.73.pdf