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Systems and methods for configuring knowledge sets and AI algorithms for automated message exchanges

机译:用于配置知识集和AI算法以进行自动消息交换的系统和方法

摘要

Systems and methods for configuring AI algorithms and knowledge sets within an automated messaging system are providing. In some embodiments, a message is received. A subsection of text from the training message is selected. Likewise, a knowledge set is selected. The knowledge set includes probabilistic associations between a term and a category. The terms in the selected subsection of text are compared to the knowledge sets to generate insights and contexts. The insights enable the categorization of the training message. This categorization has an associated confidence value based upon how strongly the terms in the text subsection are associated with the category (per the selected knowledge set). A low confidence value causes the message to be a candidate for training (a training message). Once identified as a training message, it may be displayed to an AI developer for approval or rejection of the categorization. The probabilities of the associations within the knowledge sets are updated in response to these approvals and/or rejections.
机译:提供了用于在自动消息系统中配置AI算法和知识集的系统和方法。在一些实施例中,接收消息。从培训消息中选择了一个文本小节。同样,选择知识集。知识集包括术语和类别之间的概率关联。将所选文本小节中的术语与知识集进行比较,以生成见解和上下文。这些见解可以对培训消息进行分类。基于文本小节中的术语与类别的关联程度(根据所选知识集),此分类具有关联的置信度值。低置信度值导致该消息成为训练的候选(训练消息)。一旦被识别为训练消息,就可以将其显示给AI开发人员以批准或拒绝该分类。响应于这些批准和/或拒绝,知识集中的关联的概率被更新。

著录项

  • 公开/公告号US10026037B2

    专利类型

  • 公开/公告日2018-07-17

    原文格式PDF

  • 申请/专利权人 CONVERSICA LLC;

    申请/专利号US201514604610

  • 发明设计人 BENJAMIN P. BRIGHAM;

    申请日2015-01-23

  • 分类号G06F17;G06N5/02;G06Q30;

  • 国家 US

  • 入库时间 2022-08-21 13:05:46

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