Effective writing style transfer via combinatorial paraphrasing
Table 15: Five-class author imitation in the blog author dataset with ParChoice (query access to LSTM/CNN): average source class accuracy decrease, target class accuracy increase, and imitation success (imitation threshold: majority of source class documents assigned to target class).
['Technique', 'Profiler', 'Source decrease', 'Target increase', 'Imitation']
Multi-class tests Since ParChoice-CNN and ParChoice-LSTM had the best overall performance in two-class settings, we experimented on these variants on the CNN and LSTM profilers. We discarded WP here because it failed to achieve high profiling accuracies on the original five-class test sets. On each author’s test set, we considered both the accuracy decrease of the original class, and the accuracy increase of the target class. Additionally, if the majority of the source author test sentences was assigned to the target author, we considered imitation to succeed for that source-target pair. ParChoice-LSTM’s overall performance was superior to ParChoice-CNN’s. ParChoice-LSTM reached the threshold 75% of the time on the LSTM profiler.