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SMART DOCUMENT MIGRATION AND ENTITY DETECTION

机译:智能文档迁移和实体检测

摘要

Systems and methods include extraction of a plurality of clauses from each of a plurality of electronic documents, determination, for each of the plurality of clauses and using a machine-learned algorithm, an associated clause type, identification of one or more data privacy protection entities present within each of one or more of the plurality of clauses, determination, for each of the one or more of the plurality of clauses, of a weighted frequency for each of the one or more data privacy protection entities present within the clause based on a type of the data privacy protection entity, determination of a weighted frequency associated with each of the plurality of electronic documents based on the determined weighted frequency for each of the one or more data privacy protection entities present within clauses of the plurality of electronic documents, and storage of an identifier of each of the plurality of electronic documents in association with a respective determined weighted frequency.
机译:系统和方法包括从多个电子文档中的每一个提取多个子句,确定多个子句中的每一个,以及使用机器学习算法,相关子句类型,一个或多个数据隐私保护实体的标识存在于多个子句中的一个或多个子句中的每一个的每个条款中的每一个,用于基于条款内的一个或多个数据隐私保护实体中的每一个的加权频率数据隐私保护实体的类型,基于所确定的加权频率确定与多个电子文档的子句中的每个或多个数据隐私保护实体中的每一个的所确定的加权频率相关联的加权频率。与相应的所确定的加权FR相关联地存储多个电子文档的每个电子文档的标识符公社。

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