@inproceedings{gao-etal-2018-neural-approaches,
    title = "Neural Approaches to Conversational {AI}",
    author = "Gao, Jianfeng  and
      Galley, Michel  and
      Li, Lihong",
    editor = "Artzi, Yoav  and
      Eisenstein, Jacob",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/build-pipeline-with-new-library/P18-5002/",
    doi = "10.18653/v1/P18-5002",
    pages = "2--7",
    abstract = "This tutorial surveys neural approaches to conversational AI that were developed in the last few years. We group conversational systems into three categories: (1) question answering agents, (2) task-oriented dialogue agents, and (3) social bots. For each category, we present a review of state-of-the-art neural approaches, draw the connection between neural approaches and traditional symbolic approaches, and discuss the progress we have made and challenges we are facing, using specific systems and models as case studies."
}