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SYSTEM AND METHOD FOR AUTONOMOUS LEARNING OF CONTENTS USING A MACHINE LEARNING ALGORITHM

机译:使用机器学习算法自主学习内容的系统和方法

摘要

A method of autonomous learning of contents using a machine learning model, wherein in the method includes processing a corpus of data using the machine learning model to extract insights including at least one of a key knowledge, a topic of knowledge, a plurality of key entities, or an associated cognitive ability, collectively referred to as meta-tags; creating associations between a plurality of sub-components of at least one of an existing content, an enriched content, or one or more meta-tags, using the machine learning model to generate a graph knowledge base; and automatically performing at least one of: 1) building the graph knowledge base or 2) enriching an existing knowledge base, using the machine learning model and the one or more meta-tags, wherein the graph knowledge base comprises at least a graph form of information, wherein the graph knowledge base enables automatic retrieval of organized content to be used for generating teaching material for the user based on the one or more meta-tags.
机译:使用机器学习模型的内容自主学习方法,其中在该方法中包括使用机器学习模型处理数据的语料库,以提取包括至少一个关键知识,知识主题,多个关键实体的洞察的洞察力或者相关的认知能力,统称为Meta标签;使用机器学习模型创建现有内容,富集内容或一个或多个元标签中的至少一个的多个子组件之间的关联,以生成图表知识库;并自动执行以下中的至少一个),建立使用机器学习模型和一个或多个元标签来丰富现有知识库的图表知识库或2),其中图表知识库至少包括图形形式信息,其中图形知识库使得能够自动检索组织内容以基于一个或多个元标签来为用户生成教学材料。

著录项

  • 公开/公告号US2021375148A1

    专利类型

  • 公开/公告日2021-12-02

    原文格式PDF

  • 申请/专利权人 FOUNTECH SOLUTIONS LIMITED;

    申请/专利号US202117318094

  • 发明设计人 NICK KAIRINOS;PETROS MINA;

    申请日2021-05-12

  • 分类号G09B5/06;G06N5/02;G06N20;G06F16/248;

  • 国家 US

  • 入库时间 2022-08-24 22:34:11

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