Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction

BEA@NAACL-HLT, pp. 242-251, 2016.

Cited by: 27|Bibtex|Views103|DOI:https://doi.org/10.18653/v1/W16-0528
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We demonstrate that an attention-based encoder-decoder model can be used for sentence-level grammatical error identification for the Automated Evaluation of Scientific Writing (AESW) Shared Task 2016. The attention-based encoder-decoder models can be used for the generation of corrections, in addition to error identification, which is of ...More

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