Corpus ID: 203951318

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

@article{Pang2019TheDT,
  title={The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation},
  author={Richard Yuanzhe Pang},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.03747}
}
  • Richard Yuanzhe Pang
  • Published 2019
  • Computer Science
  • ArXiv
  • The difficulty of textual style transfer lies in the lack of parallel corpora. Numerous advances have been proposed for the unsupervised generation. However, significant problems remain with the auto-evaluation of style transfer tasks. Based on the summary of Pang and Gimpel (2018) and Mir et al. (2019), style transfer evaluations rely on three criteria: style accuracy of transferred sentences, content similarity between original and transferred sentences, and fluency of transferred sentences… CONTINUE READING

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