Politeness Transfer: A Tag and Generate Approach
Table 1: Results on the Politeness, Gender and Political datasets.
['[EMPTY]', '[BOLD] Politeness Acc', '[BOLD] Politeness BL-s', '[BOLD] Politeness MET', '[BOLD] Politeness ROU', '[BOLD] Gender Acc', '[BOLD] Gender BL-s', '[BOLD] Gender MET', '[BOLD] Gender ROU', '[BOLD] Political ACC', '[BOLD] Political BL-s', '[BOLD] Political MET', '[BOLD] Political ROU']
The bleu score on the Politeness task is greater by 58.61 points with respect to drg. In general, cae and bst achieve high classifier accuracies but they fail to retain the original content. The classifier accuracy on the generations of our model are comparable (within 1%) with that of drg for the Politeness dataset.