Prior work has combined these three scores into a single number using geometric averaging (Xu et al., 2018) or learned weights (Pang and Gimpel, 2019).
Attribute transfer has been criticized for its limited real-world applications: Pang (2019) argue that semantic preservation is critical for author obfuscation (Shetty et al., 2018), data augmentation (Xie et al., 2019;Kaushik et al., 2020), text simplification (Xu et al., 2015), writing assistance (Heidorn, 2000).