Neural Sequence-Labelling Models for Grammatical Error Correction Neural Sequence-Labelling Models for Grammatical Error Correction
Paper summary Using error detection to improve error correction. A neural sequence labeling model is used to find correctness probabilities for every token, which are then used to rerank possible correction candidates. The process consistently improves the performance of different correction systems. https://i.imgur.com/DMkotr6.png

Summary by Marek Rei 2 months ago
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