Neural Sequence-Labelling Models for Grammatical Error Correction on ShortScience.org

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Neural Sequence-Labelling Models for Grammatical Error Correction
Yannakoudakis, Helen and Rei, Marek and Andersen, Øistein E. and Yuan, Zheng
Empirical Methods on Natural Language Processing (EMNLP) - 2017 via Local Bibsonomy
Keywords: dblp

Summaries/Notes 1

[link] Summary by Marek Rei 6 years ago

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

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