A Probabilistic Formulation of Unsupervised Text Style Transfer - ICLR2020 paper by Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick
A deep generative model for unsupervised text style transfer, by hypothesizing a parallel latent (unobserved) sequence to generate each observed sequence, good results on benchmarks.
