Papers with self-refinement method
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction (2020.findings-emnlp)
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| Challenge: | Existing approaches for grammatical error correction (GEC) rely on supervised learning with manually created datasets. |
| Approach: | They propose to denoise GEC datasets by leveraging prediction consistency of existing models. |
| Outcome: | The proposed method outperforms baseline methods on CoNLL-2014, JFLEG, and BEA-2019 benchmarks. |