The Intelligent Agent NLP-based Customer Service System

doi:10.1145/3460268.3460275

科研成果详情

题名	The Intelligent Agent NLP-based Customer Service System
作者	Huang，Changran
发表日期	2021-01-15
会议录名称	ACM International Conference Proceeding Series
页码	41-50
摘要	In Nowadays, communication has been more and more important in our lives. It is difficult for us to complete many things without it. With the support of the developing technology, communication is able to become faster and easier. The human-to-machine communication is a creative application used in field of research and industry. To improve the interaction between human and machine, a communication system is specially designed. The technology of natural language processing is implemented in the system to handle the understanding and generation of the chatting language. For higher efficiency, the system is enhanced by designing in the multi-agent system. Which let agents deal with the detailed tasks in the process of NLP by interacting and integrating them together. The system is based on sending and receiving so that it is able to communicate asking question and responding answer. Provide a textbook to the Chatbot, it is capable to understanding the content of book. And then serve as a teaching assistant to help student solve their problems by answering their questions. In this thesis, we will reveal the design and implementation of different parts in the communication system. Which consists of natural language processing system, multi-agent system, user interface (Model-View-Controller Frame), and knowledge base. System is implemented by Java programme language.
关键词	Customer Service System Java NLP Modelling
DOI	10.1145/3460268.3460275
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85120534432
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/8319
专题	北师香港浸会大学
通讯作者	Huang，Changran
作者单位	BNU-HKBU United International College,China
第一作者单位	北师香港浸会大学
通讯作者单位	北师香港浸会大学
推荐引用方式 GB/T 7714	Huang，Changran. The Intelligent Agent NLP-based Customer Service System[C], 2021: 41-50.