An intelligent disease query system based on RASA NLU

Hsiao Ting Tseng, Chen Chiung Hsieh, Yi Wei Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

ü 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.

Original languageEnglish
Title of host publicationProceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages458-459
Number of pages2
ISBN (Electronic)9781728193625
DOIs
StatePublished - Nov 2020
Event2020 International Symposium on Computer, Consumer and Control, IS3C 2020 - Taichung, Taiwan
Duration: 13 Nov 202016 Nov 2020

Publication series

NameProceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020

Conference

Conference2020 International Symposium on Computer, Consumer and Control, IS3C 2020
Country/TerritoryTaiwan
CityTaichung
Period13/11/2016/11/20

Keywords

  • Artificial intelligent
  • Disease query
  • Rasa NLU

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