Papers by Yunfan Gu

1 papers
Extract, Transform and Filling: A Pipeline Model for Question Paraphrasing based on Template (D19-55)

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Challenge: Recent approaches for paraphrasing generate unpredictable results .
Approach: They propose a question paraphrasing pipeline model based on templates that identifies template and retrieves candidate templates and fills them with original topic words.
Outcome: The proposed model outperforms the seq2seq model on two datasets and is more promising when the training sample is small.

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