@inproceedings{ficler-goldberg-2017-controlling,
    title = "Controlling Linguistic Style Aspects in Neural Language Generation",
    author = "Ficler, Jessica  and
      Goldberg, Yoav",
    editor = "Brooke, Julian  and
      Solorio, Thamar  and
      Koppel, Moshe",
    booktitle = "Proceedings of the Workshop on Stylistic Variation",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W17-4912/",
    doi = "10.18653/v1/W17-4912",
    pages = "94--104",
    abstract = "Most work on neural natural language generation (NNLG) focus on controlling the content of the generated text. We experiment with controling several stylistic aspects of the generated text, in addition to its content. The method is based on conditioned RNN language model, where the desired content as well as the stylistic parameters serve as conditioning contexts. We demonstrate the approach on the movie reviews domain and show that it is successful in generating coherent sentences corresponding to the required linguistic style and content."
}