Unsupervised Paraphrase Generation via Dynamic Blocking

Tong Niu
Tong Niu
Semih Yavuz
Semih Yavuz
Huan Wang
Huan Wang
Nitish Shirish Keskar
Nitish Shirish Keskar
Cited by: 0|Bibtex|Views7
Other Links: arxiv.org

Abstract:

We propose Dynamic Blocking, a decoding algorithm which enables large-scale pretrained autoregressive models (such as BART, T5, GPT-2 and XLNet) to generate high-quality paraphrases in an unsupervised setting. In order to obtain an alternative surface form, whenever the language model emits a token that is present in the source sequence...More

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