Invention Grant
- Patent Title: Continuous machine learning method and system for information extraction
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Application No.: US17402333Application Date: 2021-08-13
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Publication No.: US11645462B2Publication Date: 2023-05-09
- Inventor: Jacob T. Wilson , Joseph D. Harrington , Vinston Sundara Pandiyan Sigamani , Abhishek Sanghavi , Jayakumar Pillai , Benjamin Cunningham , Lindsey P. Lewis
- Applicant: PricewaterhouseCoopers LLP
- Applicant Address: US NY New York
- Assignee: PricewaterhouseCoopers LLP
- Current Assignee: PricewaterhouseCoopers LLP
- Current Assignee Address: US NY New York
- Agency: Morrison & Foerster LLP
- Main IPC: G06F40/279
- IPC: G06F40/279 ; G06N20/00 ; G06V10/40 ; G06V30/10

Abstract:
Methods and systems for artificial intelligence (AI)-assisted document annotation and training of machine learning-based models for document data extraction are described. The methods and systems described herein take advantage of a continuous machine learning approach to create document processing pipelines that provide accurate and efficient data extraction from documents that include structured text, semi-structured text, unstructured text, or any combination thereof.
Public/Granted literature
- US20230049167A1 CONTINUOUS MACHINE LEARNING METHOD AND SYSTEM FOR INFORMATION EXTRACTION Public/Granted day:2023-02-16
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