  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.
