Тестовый набор CoNLL 2014

material ID: conll2014testset

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Grammatical Error Correction via Supervised Attention in the Vicinity of Errors

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This study proposes a new supervised atten- tion mechanism for grammatical error correc- tion, which is trained to focus the encoder- decoder attention to each word in the corrected sentence …...

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AbstractThere has been much recent progress in natural language processing, and grammatical error correction (GEC) is no exception. We found that state-of-the-art GEC systems (T5 and GECToR) outperform humans by …...

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