基于多轮交互的人机对话系统综述

近些年来，人机对话系统作为自然语言处理的重要问题之一受到了越来越多的关注.基于大数据的深度学习的方法在对话系统中被广泛应用.本文首先介绍了人机对话系统的研究背景，然后以基于多轮交互的对话系统为例，着重介绍了任务型和非任务型对话系统的主要类型和目前的研究进展，并对评估对话系统的主要方法进行了概述.最后，结合当前研究现状，对多轮交互的人机对话系统的研究方向进行了展望.

A survey of human-computer dialogue system based on multiple-round interaction

In recent years,as one of the important issues in natural language processing,the human-machine dialogue system has received more and more attention.Methods of deep learning based on big data are widely used in dialogue systems.In this paper,the background of human-machine dialogue system is firstly introduced,then dialogue system based on multiple-round interaction is taken as an example.This paper emphasizes on task-oriented and non-task-oriented dialogue systems,elaborates the main types and current research progress.After that,this paper provides an overview of some main methods of evaluating the dialogue system.Finally,based on the current research status,the prospect of some future research directions on human-machine dialogue system are discussed.