王树良, 李大鹏, 赵柏翔, 耿晶, 张伟, 王海雷. 聊天机器人技术浅析[J]. 武汉大学学报 ( 信息科学版), 2021, 46(2): 296-302. DOI: 10.13203/j.whugis20190177
引用本文: 王树良, 李大鹏, 赵柏翔, 耿晶, 张伟, 王海雷. 聊天机器人技术浅析[J]. 武汉大学学报 ( 信息科学版), 2021, 46(2): 296-302. DOI: 10.13203/j.whugis20190177
WANG Shuliang, LI Dapeng, ZHAO Boxiang, GENG Jing, ZHANG Wei, WANG Hailei. Recent Trends in Chatbots[J]. Geomatics and Information Science of Wuhan University, 2021, 46(2): 296-302. DOI: 10.13203/j.whugis20190177
Citation: WANG Shuliang, LI Dapeng, ZHAO Boxiang, GENG Jing, ZHANG Wei, WANG Hailei. Recent Trends in Chatbots[J]. Geomatics and Information Science of Wuhan University, 2021, 46(2): 296-302. DOI: 10.13203/j.whugis20190177

聊天机器人技术浅析

Recent Trends in Chatbots

  • 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。

     

    Abstract: 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 generation-based 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.

     

/

返回文章
返回