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Found 2 papers, 1 papers with code
RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans
The text editing tasks, including sentence fusion, sentence splitting and rephrasing, text simplification, and Grammatical Error Correction (GEC), share a common trait of dealing with highly similar input and output sequences.
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Grammatical Error Correction
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Multi-headed Architecture Based on BERT for Grammatical Errors Correction
In this paper, we describe our approach to GEC using the BERT model for creation of encoded representation and some of our enhancements, namely, {``}Heads{''} are fully-connected networks which are used for finding the errors and later receive recommendation from the networks on dealing with a highlighted part of the sentence only.
