Volume 46 Issue 2
Jan.  2021
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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
shu

Recent Trends in Chatbots

  • 1.

    School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    Academy of E-Government, Beijing Institute of Technology, Beijing 100081, China

  • 3.

    Beijing Baidu Netcom Science Technology Co. Ltd, Beijing 100085, China

  • 4.

    CAS (Hefei) Institute of Technology Innovation Co. Ltd, Hefei 230088, China

Funds: 

The National Key Research and Development Program of China 2016YFB0502600

Beijing Municipal Science and Technology Project Z171100005117002

the Open Fund of Key Laboratory for National Geographic Census and Monitoring, National Administration of Surveying, Mapping and Geoinformation 2017NGCMZD03

More Information
  • Author Bio:

    WANG Shuliang, PhD, professor, specializes in theories and applications of spatial data mining. E-mail: slwang2011@bit.edu.cn

  • Corresponding author:

    LI Dapeng, PhD candidate. E-mail: dapengli@bit.edu.cn

  • Received Date: June 01, 2019
  • Published Date: February 04, 2021
    Graphical Abstract
    • 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.
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    • References (33)
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