3ST

This is the repository to the paper Exploiting Social Media Content for Self-Supervised Style Transfer.

Predictions and Code

Under predictions you will find all predictions of the 3ST hablation study. If you only want the predictions of the final 3ST architecture (i.e., with denoising autoencoding, sentence pair extraction and backtranslation), use prediction files starting with DAE+SPE+BT.

See https://github.com/ruitedk6/comparableNMT for our code.

Bibtex

Please cite us as:

@inproceedings{ruiter2022exploiting,
  title={Exploiting Social Media Content for Self-Supervised Style Transfer},
  author={Ruiter, Dana and Kleinbauer, Thomas and Espa{\~{n}}a-Bonet, Cristina and van Genabith, Josef and Klakow, Dietrich},
      title = "Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media",
  month     = {July},
  year      = {2022},
  address   = {Seattle, USA},
  publisher = {Association for Computational Linguistics}
}