Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking (2024.findings-acl)
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| Challenge: | Chinese Spell Checking (CSC) is a widely used technology for speech to text and optical character recognition. |
| Approach: | They propose to use Chinese rich semantic information to introduce large language models as the foundation model. |
| Outcome: | The proposed framework performs better on few-shot CSC task than existing methods. |
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