A Probabilistic Formulation of Unsupervised Text Style Transfer

ICLR 2020 Junxian HeXinyi WangGraham NeubigTaylor Berg-Kirkpatrick

We present a deep generative model for unsupervised text style transfer that unifies previously proposed non-generative techniques. Our probabilistic approach models non-parallel data from two domains as a partially observed parallel corpus... (read more)

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