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.