Papers with BTmPG

1 papers
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach (2021.findings-acl)

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Challenge: Recent years, neural paraphrase generation models have demonstrated superior performance, but the output paraphrase still lacks diversity.
Approach: They propose a back-translation guided multi-round paraphrase generation framework which leverages multi- round paraphrases to improve diversity while preserving semantic information.
Outcome: The proposed model improves diversity while preserving semantic information.

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