@inproceedings{cao-clark-2017-latent,
    title = "Latent Variable Dialogue Models and their Diversity",
    author = "Cao, Kris  and
      Clark, Stephen",
    editor = "Lapata, Mirella  and
      Blunsom, Phil  and
      Koller, Alexander",
    booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 2, Short Papers",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/E17-2029/",
    pages = "182--187",
    abstract = "We present a dialogue generation model that directly captures the variability in possible responses to a given input, which reduces the {\textquoteleft}boring output' issue of deterministic dialogue models. Experiments show that our model generates more diverse outputs than baseline models, and also generates more consistently acceptable output than sampling from a deterministic encoder-decoder model."
}