@inproceedings{wu-yan-2018-deep,
    title = "Deep Chit-Chat: Deep Learning for {C}hat{B}ots",
    author = "Wu, Wei  and
      Yan, Rui",
    editor = "Mausam  and
      Wang, Lu",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts",
    month = oct # "-" # nov,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/D18-3006/",
    abstract = "The tutorial is based on the long-term efforts on building conversational models with deep learning approaches for chatbots. We will summarize the fundamental challenges in modeling open domain dialogues, clarify the difference from modeling goal-oriented dialogues, and give an overview of state-of-the-art methods for open domain conversation including both retrieval-based methods and generation-based methods. In addition to these, our tutorial will also cover some new trends of research of chatbots, such as how to design a reasonable evaluation system and how to ``control'' conversations from a chatbot with some specific information such as personas, styles, and emotions, etc."
}