聊天机器人技术浅析  

Recent Trends in Chatbots

作　　者：王树良 李大鹏[1] 赵柏翔[1] 耿晶 张伟 王海雷 WANG Shuliang;LI Dapeng;ZHAO Boriang;GENG Jing;ZHANG Wei;WANG Hailei(School of Computer Science and Technology,Beijing lnstitute of Technology,Beijing 100081,China;Academy of E-Government,Beijing Institute of Technology,Beijing 100081,China;Beijing Baidu Netcom Science Technology Co.Ltd,Beijing 100085,China;CAS(Hefei)Institute of Technology Innovation Co.Ltd,Hefei 230088,China)

机构地区：[1]北京理工大学计算机学院,北京100081 [2]北京理工大学电子政务研究院,北京100081 [3]北京百度网讯科技有限公司,北京100085 [4]中科院合肥技术创新工程院,安徽合肥230088

出　　处：《武汉大学学报（信息科学版）》2021年第2期296-302,共7页Geomatics and Information Science of Wuhan University

基　　金：国家重点研发计划(2016YFB0502600);北京市科技计划(Z171100005117002);地理国情监测国家测绘地理信息局重点实验室开放基金(2017NGCMZD03)。

摘　　要：对话系统已经成为人工智能时代重要的人机交互接口。聊天机器人技术在对话系统技术发展中扮演着至关重要的角色,代表了对话系统技术的前沿发展。从聊天机器人技术的兴起入手,深入分析聊天机器人技术的发展趋势,介绍国内外学术界和产业界的聊天机器人技术研究进展,重点介绍聊天机器人的3项关键技术,即基于检索的多轮对话技术、基于生成的对话技术和基于检索与生成深度融合的对话技术。通过分析聊天机器人技术中存在的问题,展望未来的发展方向。The dialogue system has become an important human-computer interaction interface in artificial intelligence. Chatbots technology plays a vital role in the development of dialogue system technology and represents the frontier development of dialogue system technology. In this paper, we analyze the emerging of chatbots and recent trends in chatbots. When introducing the research progress of chatbots technology in academia and industry, special emphasis is placed on the three key technologies of chatbots. They include multi-turn response selection model in retrieval-based chatbots, response generation model in generationbased chatbots and dialogue model based on deep integration of retrieval and generation. The future development is prospected by analyzing the problems in the chatbots technology.

关 键 词：聊天机器人 多轮对话检索模型 对话生成模型 人机交互 人工智能 

分 类 号：P208[天文地球—地图制图学与地理信息工程]