Neural Sequence-Labelling Models for Grammatical Error Correction
Neural Sequence-Labelling Models for Grammatical Error Correction
Yannakoudakis, Helen and Rei, Marek and Andersen, Øistein E. and Yuan, Zheng
2017
Paper summary
marek
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.
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