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Utilizing machine learning models to identify insights in a document

机译：利用机器学习模型来识别文档中的见解

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摘要

A device receives document information associated with a document, and receives a request to identify insights in the document information. The device performs, based on the request, natural language processing on the document information to identify words, phrases, and sentences in the document information, and utilizes a first machine learning model with the words, the phrases, and the sentences to identify information indicating abstract insights, concrete insights, and non-insights in the document. The device utilizes a second machine learning model to match the abstract insights with particular concrete insights that are different than the concrete insights, and utilizes a third machine learning model to determine particular insights based on the non-insights. The device generates an insight document that includes the concrete insights, the abstract insights matched with the particular concrete insights, and the particular insights determined based on the non-insights.

机译：设备接收与文档相关联的文档信息，并接收用于识别文档信息中的见解的请求。基于对文档信息的请求，基于对文档信息中的单词，短语和句子进行的请求，并利用具有单词，短语和句子的第一机器学习模型来识别文档，短语和句子以识别指示信息的单词，短语和句子摘要洞察力，具体见解和文档中的非见解。该设备利用第二种机器学习模型来匹配与具体具体见解的抽象见解，这些洞察力不同于具体见解，并利用第三机器学习模型来确定基于非洞察力的特定见解。该器件产生了一个洞察文档，包括具体见解，与特定具体见解匹配的抽象洞察力以及基于非见解确定的特殊见解。

著录项

公开/公告号US11227121B2

专利类型
公开/公告日2022-01-18

原文格式PDF
申请/专利权人 CAPITAL ONE SERVICES LLC;
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申请/专利号US201916693650
发明设计人 JONI BRIDGET JEZEWSKI;
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申请日2019-11-25
分类号G06F16/30;G06F40/30;G06K9;G06N3/04;G06K9/62;G06N20;G06F40/216;G06F40/284;
国家 US
入库时间 2022-08-24 23:23:11

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