Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking. (arXiv:2210.10320v1 [cs.CL])

Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling
errors. Recent researches start from the pretrained knowledge of language
models and take multimodal information into CSC models to improve the
performance. However, they overlook the rich knowledge in the dictionary, the
reference book where one can learn how one character should be pronounced,
written, and used. In this paper, we propose the LEAD framework, which renders
the CSC model to learn heterogeneous knowledge from the dictionary in terms …

arxiv dictionary fine-tuning knowledge spell