Papers with error-driven way

1 papers
The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking (2022.findings-acl)

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Challenge: Chinese Spell Checking (CSC) aims to detect and correct spelling errors, which are caused by the phonological or visual similarity.
Approach: They propose an Error-driven COntrastive Probability Optimization framework to refine the knowledge representations of pre-trained language models to avoid predicting common characters.
Outcome: Extensive experiments and detailed analyses on SIGHAN datasets demonstrate that ECOPO is simple yet effective.

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