首页> 外国专利> AI METHOD AND COMPUTER READABLE RECORDING MEDIUM FOR PROVIDING ANSWERS BASED ON HYBRID HIERARCHICAL CONVERSATION FLOW MODEL WITH CONVERSATION MANAGEMENT MODEL USING MACHINE LEARNING

AI METHOD AND COMPUTER READABLE RECORDING MEDIUM FOR PROVIDING ANSWERS BASED ON HYBRID HIERARCHICAL CONVERSATION FLOW MODEL WITH CONVERSATION MANAGEMENT MODEL USING MACHINE LEARNING

机译:基于混合层次化会话流模型和机器学习会话管理模型的人工智能方法和计算机可读记录介质

摘要

Conversation Understanding A method is provided for providing answers based on a hybrid hierarchical conversation flow model that applies machine learning to conversation management technology performed by an AI service server. The method of the present disclosure includes generating a hybrid hierarchical dialogue flow model; Receiving a user's natural language input from a user terminal; Determining an intent of the user corresponding to the received natural language input; Determining a current intent group on the hybrid hierarchical conversation flow model; Calculating a matching rate of the intent of the user for each of the current intent group and a lower intent group of the current intent group; Determining whether the highest matching rate exceeds a predetermined threshold; When the highest matching rate exceeds a predetermined threshold, selecting an answer to the user input from the current intent group having the highest matching rate; And when the highest matching rate is below a predetermined threshold, switching to a deep learning mode and selecting an answer for a user input.
机译:对话理解提供了一种用于基于混合层次对话流模型提供答案的方法,该模型将机器学习应用于AI服务服务器执行的对话管理技术。本公开的方法包括生成混合层次对话流模型;以及从用户终端接收用户的自然语言输入;确定与接收到的自然语言输入相对应的用户意图;在混合层次对话流模型上确定当前意图组;计算当前意图组和当前意图组中较低意图组的用户意图匹配率;确定最高匹配率是否超过预定阈值;当最高匹配率超过预定阈值时,从具有最高匹配率的当前意图组中选择对用户输入的答案;并且当最高匹配率低于预定阈值时,切换到深度学习模式并为用户输入选择答案。

著录项

  • 公开/公告号KR102120751B1

    专利类型

  • 公开/公告日2020-06-10

    原文格式PDF

  • 申请/专利权人 주식회사 머니브레인;

    申请/专利号KR20180071177

  • 发明设计人 장세영;설재호;

    申请日2018-06-21

  • 分类号G10L15/22;G10L15/16;G10L15/18;

  • 国家 KR

  • 入库时间 2022-08-21 11:04:29

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