Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model

24 May 2020Satoru KatsumataMamoru Komachi

Grammatical error correction (GEC) literature has reported on the effectiveness of pretraining a Seq2Seq model with a large amount of pseudo data. In this study, we explored two generic pretrained encoder-decoder (Enc-Dec) models, including BART, which reported the state-of-the-art (SOTA) results for several Seq2Seq tasks other than GEC... (read more)

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