A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
Table 1: Automatic evaluation results on the Yelp and Gyafc datasets. “ACC” shows the accuracy of output labeled as the target style by a pre-trained style classifier. “BLEU” measures content similarity between the output and the four human references. G2 and H2 are geometric mean and harmonic mean of ACC and BLEU. Bold denotes the best results and underline denotes the best overall scores.
['[EMPTY]', 'Yelp ACC', 'Yelp BLEU', 'Yelp  [BOLD] G2', 'Yelp  [BOLD] H2', 'Gyafc ACC', 'Gyafc BLEU', 'Gyafc  [BOLD] G2', 'Gyafc  [BOLD] H2']
We can observe that our model DualRL achieves the best overall performance (G2, H2). More specifically, our model significantly outperforms the other systems by over 8 BLEU points averaged on two datasets.