Papers with Tail-to-Tail

1 papers
Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction (2021.acl-long)

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Challenge: Experimental results demonstrate the effectiveness of Tail-to-Tail (TtT) non-autoregressive sequence prediction for Chinese Grammatical Error Correction (CGEC)
Approach: They propose a framework for Chinese Grammatical Error Correction (CGEC) that uses a BERT-initialized Transformer Encoder to model the error positions.
Outcome: The proposed framework solves the problem of Chinese Grammatical Error Correction (CGEC) by modeling the token dependencies.

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