首页> 外国专利> SYSTEM AND METHOD TO REPRESENT CONVERSATIONAL FLOWS AS GRAPH EMBEDDINGS AND TO CONDUCT CLASSIFICATION AND CLUSTERING BASED ON SUCH EMBEDDINGS

SYSTEM AND METHOD TO REPRESENT CONVERSATIONAL FLOWS AS GRAPH EMBEDDINGS AND TO CONDUCT CLASSIFICATION AND CLUSTERING BASED ON SUCH EMBEDDINGS

机译:用于将对话流表示为图形嵌入并进行基于此类嵌入的分类和聚类的系统和方法

摘要

Systems and methods develop a natural language interface. Conversational data including user utterances is received for a plurality of conversations from a natural language interface. Each of the conversations is classified to determine intents for each user utterance, and for each of the conversations, a control flow diagram showing the intents and sequential flow of the conversation is generated. Each of the control flow diagrams is processed to generate a graph embedding representative of the conversation. A previous conversation that is similar to the current conversation is identified from a previous graph embedding that is nearest to a current graph embedding of a most recent utterance in a current conversation. A previous outcome of the previous conversation is used to predict an outcome of the current conversation, which, when not positive, may control response outputs of the natural language interface to steer the current conversation towards a positive result.
机译:系统和方法开发自然语言界面。从自然语言界面接收用于多个对话的包括用户话语的对话数据。对每个对话进行分类以确定针对每个用户话语的意图,并且对于每个对话,生成示出对话的意图和顺序流的控制流程图。处理每个控制流程图以生成代表对话的图形嵌入。从最接近当前对话中最近话语的当前图嵌入的先前图嵌入中识别出与当前对话相似的先前对话。先前对话的先前结果被用于预测当前对话的结果,当该结果不是肯定的时,其可以控制自然语言界面的响应输出以使当前对话转向肯定的结果。

著录项

  • 公开/公告号US2020193094A1

    专利类型

  • 公开/公告日2020-06-18

    原文格式PDF

  • 申请/专利权人 MUYVENTIVE LLC;

    申请/专利号US201916697940

  • 发明设计人 ZVI TOPOL;

    申请日2019-11-27

  • 分类号G06F40/30;G06T11/20;

  • 国家 US

  • 入库时间 2022-08-21 11:25:41

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