Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
Table 2: Automatic evaluation results on Yelp and IMDb datset
['Model', 'Yelp ACC', 'Yelp  [ITALIC] ref-BLEU', 'Yelp  [ITALIC] self-BLEU', 'Yelp PPL', 'IMDb ACC', 'IMDb  [ITALIC] self-BLEU', 'IMDb PPL']
Comparing to previous approaches, our models achieve competitive performance overall and get better content preservation at all of two datasets. Our conditional model can achieve a better style controlling compared to the multi-class model. Both our models are able to generate sentences with relatively low perplexity. For those previous models performing the best on a single metric, an obvious drawback can always be found on another metric.