@inproceedings{mukherjee-etal-2023-polite,
    title = "Polite Chatbot: A Text Style Transfer Application",
    author = "Mukherjee, Sourabrata  and
      Hude{\v{c}}ek, Vojt{\v{e}}ch  and
      Du{\v{s}}ek, Ond{\v{r}}ej",
    editor = "Bassignana, Elisa  and
      Lindemann, Matthias  and
      Petit, Alban",
    booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop",
    month = may,
    year = "2023",
    address = "Dubrovnik, Croatia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/2023.eacl-srw.9/",
    doi = "10.18653/v1/2023.eacl-srw.9",
    pages = "87--93",
    abstract = "Generating polite responses is essential to build intelligent and engaging dialogue systems. However, this task is far from well-explored due to the difficulties of rendering a particular style in coherent responses, especially when parallel datasets for regular-to-polite pairs are usually unavailable. This paper proposes a polite chatbot that can produce responses that are polite and coherent to the given context. In this study, a politeness transfer model is first used to generate polite synthetic dialogue pairs of contexts and polite utterances. Then, these synthetic pairs are employed to train a dialogue model. Automatic and human evaluations demonstrate that our method outperforms baselines in producing polite dialogue responses while staying competitive in terms of coherent to the given context."
}