论文标题
使用基于BERT的预训练模型的中国语法校正
Chinese Grammatical Correction Using BERT-based Pre-trained Model
论文作者
论文摘要
近年来，预先培训的模型已经进行了广泛的研究，并且从利用中受益了几项下游任务。在这项研究中，我们验证了两种结合了Cui等人开发的基于BERT的预训练模型的方法的有效性。 （2020）进入中国语法错误校正任务的编码器模型。我们还分析了错误类型，并得出结论，句子级错误尚未解决。
In recent years, pre-trained models have been extensively studied, and several downstream tasks have benefited from their utilization. In this study, we verify the effectiveness of two methods that incorporate a BERT-based pre-trained model developed by Cui et al. (2020) into an encoder-decoder model on Chinese grammatical error correction tasks. We also analyze the error type and conclude that sentence-level errors are yet to be addressed.
