基于Rasa NLU的智能疾病查询系统

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI:10.1109/IS3C50286.2020.00124

Hsiao-Ting Tseng, Chen-Chiung Hsieh, Yi-Wei Lin

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引用次数: 2

摘要

智能客服是目前非常流行的一种应用。利用之前用户的问答记录和数据库中已有的数据，结合语义分析，用户可以快速获取自己想要了解的内容。该系统以台湾省疾病控制中心的数据为例，通过实验证明，该系统可以代替传统的客服工作，为用户提供即时的疾病信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Intelligent Disease Query System Based on Rasa NLU

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.

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来源期刊

2020 International Symposium on Computer, Consumer and Control (IS3C)

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