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ARTIFICIALLY INTELLIGENT SYSTEM EMPLOYING MODULARIZED AND TAXONOMY-BASED CLASSIFICATIONS TO GENERATED AND PREDICT COMPLIANCE-RELATED CONTENT
ARTIFICIALLY INTELLIGENT SYSTEM EMPLOYING MODULARIZED AND TAXONOMY-BASED CLASSIFICATIONS TO GENERATED AND PREDICT COMPLIANCE-RELATED CONTENT
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机译:人工智能系统,采用模块化和分类法分类,以生成和预测与法规遵从性相关的内容
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摘要
A system employing new and improved artificially intelligent system for employing modularized and taxonomy-based classifications to generate compliance-related content. In one embodiment, the system comprises monitoring circuitry that receives regulatory compliance data from one or more regulatory institutions, as well as a taxonomy engine that processes the regulatory compliance data to generate taxonomy-based classifications of the regulatory compliance data comprising a plurality of modules and compliance requirements within each module. In certain embodiments, the system also includes a database storing the taxonomy-based classifications of the regulatory compliance data, and a plurality of processors in operative communication with the database that receive at least two of the plurality of modules from the taxonomy-based classifications and process the compliance requirements within each received module using natural language processing to generate a mapping of semantic relationship pairs between each received module. In certain embodiments, the system also includes scoring circuitry that processes the mapping of semantic relationship pairs between each received module to produce a similarity score for each relationship pair, as well as interface circuitry that uses the similarity scores to generate a set of compliance steps that covers all compliance requirements from each of the received modules.
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