Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation
Table 4: Results for multi-aspect attribute transfer. The kappa coefficient of the three workers is 0.67 ∈ (0.61, 0.80), which means that the consistency is substantial.
['Aspects', 'Acc', 'Att', 'Con', 'Gra']
We see that the achieved sentiment accuracy is high, which means that our model can perform sentiment transfer over multiple aspects at the same time. Considering the results of human evaluation, our model has good fluency and preservation of content when performing sentiment transferring over multiple aspects. To the best of our knowledge, this is the first work investigating the aspect-based attribute transfer task.