Invention Grant
- Patent Title: Generation of digital standards using machine-learning model
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Application No.: US16905559Application Date: 2020-06-18
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Publication No.: US11645550B2Publication Date: 2023-05-09
- Inventor: Divyesh Gaur , Uxue Zurutuza Dorronsoro , Anna Belova , Audra Ziegenfuss , Roshan Bhave
- Applicant: SAE International , COGNISTIC LLC
- Applicant Address: US PA Warrendale
- Assignee: SAE International
- Current Assignee: SAE International
- Current Assignee Address: US PA Warrendale
- Agency: Ference & Associates LLC
- Agent Gregory L. Bradley, Esq.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06K9/62 ; G06N5/025

Abstract:
One embodiment provides a method for generating a digital standard utilizing a trained machine-learning model, the method including: receiving an underlying standard; extracting conceptual units from the underlying standard; classifying, using at least one trained machine-learning model, at least a portion of the extracted conceptual units into one of a plurality of classification groups, wherein each of the classification groups identifies a function of the extracted conceptual units, included within a given classification group, within the underlying standard; wherein the classifying comprises classifying conceptual units from the underlying standard based upon sections of a schema corresponding to a digital standard; and storing the classified extracted conceptual units into a data repository based upon the schema. Other aspects are described and claimed.
Public/Granted literature
- US20210397979A1 GENERATION OF DIGITAL STANDARDS USING MACHINE-LEARNING MODEL Public/Granted day:2021-12-23
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