Disentangled Representation Learning for Non-Parallel Text Style Transfer
Table 4: Ablation tests on the Yelp dataset. In all variants, we follow the same protocol of style transfer by substituting an empirical estimate of the target style vector.
['[BOLD] Objectives', '[BOLD] Transfer', '[BOLD] Cosine', '[BOLD] Word', '[BOLD] Language']
With JVAE only, we cannot achieve reasonable style transfer accuracy by substituting an empirically estimated style vector of the target style. This is because the style and content spaces would not be disentangled spontaneously with the autoencoding loss alone.