Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
Table 2: Human evaluation results on all three datasets. We show average human ratings for grammaticality (Gra), content preservation (Con), and target attribute match (Att) on a 1 to 5 Likert scale, as well as overall success rate (Suc). On all three datasets, DeleteAndRetrieve is the best overall system, and all four of our methods outperform previous work.
['[EMPTY]', 'Yelp Gra', 'Yelp Con', 'Yelp Att', 'Yelp Suc', 'Amazon Gra', 'Amazon Con', 'Amazon Att', 'Amazon Suc', 'Captions Gra', 'Captions Con', 'Captions Att', 'Captions Suc']
On all three datasets, both of our baselines have a higher success rate than the previously published models, and DeleteAndRetrieve achieves the best performance among all systems. Additionally, we see that human raters strongly preferred the human references to all systems, suggesting there is still significant room for improvement on this task.