Abstract: Described herein are systems and methods for extracting requirements from regulatory content data. The method including: receiving the regulatory content data; classifying an associated type for each citation in the regulatory content data using a trained classifier machine learning model, the classifier machine learning model trained using regulatory content data including expert labelled annotations; splitting citations in the regulatory content data, including determining whether each citation includes more than one requirement; merging one or more citations in the regulatory content data, including identifying child-parent relationships for the citations and merging citations based on conjunctive language; and outputting the citations and their associated type. In a particular case, the types of citations for classification include one of a requirement (REQ), an optional or site-specific requirement (OSR), a description (DSC), and part of another requirement.

Abstract: Described herein are systems and methods for extracting requirements from regulatory content data. The method including: receiving the regulatory content data; classifying an associated type for each citation in the regulatory content data using a trained classifier machine learning model, the classifier machine learning model trained using regulatory content data including expert labelled annotations; splitting citations in the regulatory content data, including determining whether each citation includes more than one requirement; merging one or more citations in the regulatory content data, including identifying child-parent relationships for the citations and merging citations based on conjunctive language; and outputting the citations and their associated type. In a particular case, the types of citations for classification include one of a requirement (REQ), an optional or site-specific requirement (OSR), a description (DSC), and part of another requirement.