{"title":"基于nlp的智能代理客户服务系统","authors":"C. Huang","doi":"10.1145/3460268.3460275","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":215905,"journal":{"name":"Proceedings of the 2021 2nd International Conference on Artificial Intelligence in Electronics Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Intelligent Agent NLP-based Customer Service System\",\"authors\":\"C. Huang\",\"doi\":\"10.1145/3460268.3460275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":215905,\"journal\":{\"name\":\"Proceedings of the 2021 2nd International Conference on Artificial Intelligence in Electronics Engineering\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 2nd International Conference on Artificial Intelligence in Electronics Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3460268.3460275\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 2nd International Conference on Artificial Intelligence in Electronics Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3460268.3460275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Intelligent Agent NLP-based Customer Service System
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.