Neural Approaches to Conversational AI
Computation and Language
2019-09-11 v3
Abstract
The present paper surveys neural approaches to conversational AI that have been developed in the last few years. We group conversational systems into three categories: (1) question answering agents, (2) task-oriented dialogue agents, and (3) chatbots. For each category, we present a review of state-of-the-art neural approaches, draw the connection between them and traditional approaches, and discuss the progress that has been made and challenges still being faced, using specific systems and models as case studies.
Cite
@article{arxiv.1809.08267,
title = {Neural Approaches to Conversational AI},
author = {Jianfeng Gao and Michel Galley and Lihong Li},
journal= {arXiv preprint arXiv:1809.08267},
year = {2019}
}
Comments
Foundations and Trends in Information Retrieval (95 pages)