Generating Sentences by Editing Prototypes

arxiv.org

The authors propose a new generative model of sentences that first samples a prototype sentence from the training corpus and then edits it into a new sentence. Compared to traditional models that generate from scratch either left-to-right or by first sampling a latent sentence vector, the authors' prototype-then-edit model improves perplexity on language modeling and generates higher quality outputs according to human evaluation.

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