Neural Sequence-Labelling Models for Grammatical Error CorrectionNeural Sequence-Labelling Models for Grammatical Error CorrectionYannakoudakis, Helen and Rei, Marek and Andersen, Øistein E. and Yuan, Zheng2017
Paper summarymarekUsing 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
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