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---
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language: en
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license: cc-by-nc-sa-4.0
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tags:
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- grammatical error correction
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- grammatical error detection
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---
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Binary and multi-class grammatical error detection models.
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The experiment was performed according to [Yuan+ 21](https://aclanthology.org/2021.emnlp-main.687/).
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The code and the performance on GEC benchmarks are avaliable from https://github.com/gotutiyan/ged_baselines.
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Trained models are distributed for research and educational purposes only.
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