Decomposing Textual Information For Style Transfer
Ivan P. Yamshchikov, Viacheslav Shibaev, Aleksander Nagaev, Jürgen Jost, Alexey Tikhonov · 2019
This paper focuses on latent representations that could effectively decompose different aspects of textual information.Using a framework of style transfer for texts, we propose several empirical methods to assess information decomposition quality.We validate these methods with several state-of-the-art textual style transfer methods.Higher quality of information decomposition corresponds to higher performance in terms of bilingual evaluation understudy (BLEU) between output and human-written reformulations.