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The difficulty of textual style transfer lies in the lack of parallelcorpora. Numerous advances have been proposed for the unsupervised generation.However, significant problems remain with the auto-evaluation of style transfertasks. Based on the summary of Pang and Gimpel (2018) and Mir et al. (2019),style transfer evaluations rely on three criteria: style accuracy oftransferred sentences, content similarity between original and transferredsentences, and fluency of transferred sentences. We elucidate the problematiccurrent state of style transfer research. Given that current tasks do notrepresent real use cases of style transfer, current auto-evaluation approach isflawed. This discussion aims to bring researchers to think about the future ofstyle transfer and style transfer evaluation research.

The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation