Generating Sentences by Editing Prototypes

ACL 2018

Generating Sentences by Editing Prototypes

Jan 22, 2021
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Abstract: We 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, our prototype-then-edit model improves perplexity on language modeling and generates higher quality outputs according to human evaluation. Furthermore, the model gives rise to a latent edit vector that captures interpretable semantics such as sentence similarity and sentence-level analogies. Authors: Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, Percy Liang (Stanford University)

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