Deep chit-chat: Deep learning for chatbots

3Citations
Citations of this article
32Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The tutorial is based on our long-term research on open domain conversation and rich hands-on experience on development of Microsoft XiaoIce. We will summarize the recent achievements made by both academia and industry on chatbots, and give a thorough and systematic introduction to state-of-the-art methods for open domain conversation modeling 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 metric for open domain dialogue generation, how to build conversation models with multiple modalities, and how to conduct dialogue management in open domain conversation systems.

Cite

CITATION STYLE

APA

Wu, W., & Yan, R. (2019). Deep chit-chat: Deep learning for chatbots. In The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019 (p. 1329). Association for Computing Machinery, Inc. https://doi.org/10.1145/3308560.3320084

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free