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.

中文翻译：

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对话式AI的神经方法

本文概述了最近几年开发的对话式AI神经方法。我们将对话系统分为三类：（1）问答代理，（2）面向任务的对话代理和（3）聊天机器人。对于每个类别，我们将使用特定的系统和模型作为案例研究，对当前最先进的神经方法进行回顾，画出它们与传统方法之间的联系，并讨论已取得的进展和仍然面临的挑战。 。