Automated contextual processing of unstructured data

US12001951B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Kavita V V Ganeshan · Mumbai, IN
• Swati Tata · Bengaluru, IN
• Soujanya Soni · New Delhi, IN
• Madhur Bhasini Chaini · Kanchinakote, IN
• Anjani Kumari · Pune, IN
• Omar Razi · Kanchinakote, IN
• Thyagarajan Delli · Kanchinakote, IN
• Ullas Balan Nambiar · Barwala, IN
• Guanglei Xiong · Pleasanton, US
• Sivasubramanian Arumugam Jalajam · Chennai, IN
• Srinivasan Krishnan Rajagopalan · Chennai, IN
• Venkatesan Kamalakannan · Chennai, IN
• Harbhajan Singh · Dubli, IN

Key dates

• Filing date: Mar 23, 2021
• Grant date: Jun 4, 2024
• Expiry date: Nov 29, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/096
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A system for providing automated and domain specific contextual processing for context based verification may classify a plurality of extracted parameters from a set of digitized training document to assign a document similarity score with respect to a set of reference documents. The system may automatically detect a domain for the set of digitized training documents based on the document similarity score. The system may load a domain based neural model for the detected domain to generate a plurality of pre-defined contextual parameters. The system may receive a set of input documents and perform a contextual processing of the received set of documents based on the pre-defined contextual parameters to obtain an output in form of a plurality of filtered snippets, each bearing a corresponding rank. The context based verification may be performed based on the plurality of filtered snippets and the corresponding rank.