@inproceedings{5f765551984e496b8a981fd2aae22e5b,
title = "An intelligent disease query system based on RASA NLU",
abstract = "{\"u} Intelligent Customer Service is a very popular application at present. Using the previous user's Q & A records and the existing data in the database, combined with semantic analysis, users can quickly acquire what they want to know. The system takes the Taiwan Disease Control center data as an example, which is proved by experiments that the system can replace the traditional customer service work and can provide users with instant information about diseases.",
keywords = "Artificial intelligent, Disease query, Rasa NLU",
author = "Tseng, {Hsiao Ting} and Hsieh, {Chen Chiung} and Lin, {Yi Wei}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE; null ; Conference date: 13-11-2020 Through 16-11-2020",
year = "2020",
month = nov,
doi = "10.1109/IS3C50286.2020.00124",
language = "???core.languages.en_GB???",
series = "Proceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "458--459",
booktitle = "Proceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020",
}