Invention Grant
- Patent Title: Metamodeling for confidence prediction in machine learning based document extraction
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Application No.: US17006648Application Date: 2020-08-28
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Publication No.: US11620843B2Publication Date: 2023-04-04
- Inventor: Terrence J. Torres , Venkatesh Coimbatore Ravichandran , Karen Kraemer Lowe
- Applicant: INTUIT INC.
- Applicant Address: US CA Mountain View
- Assignee: INTUIT INC.
- Current Assignee: INTUIT INC.
- Current Assignee Address: US CA Mountain View
- Agency: DLA Piper LLP (US)
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06V30/414 ; G06K9/62 ; G06N20/00 ; G06V30/416 ; G06V30/10

Abstract:
A document extraction system executed by a processor, may process documents using manual and automated systems. The document extraction system may efficiently route tasks to the manual and automated systems based on a predicted probability that the results generated by the automated system meet some baseline level of accuracy. To increase document processing speed, documents having a high likelihood of accurate automated processing may be routed to an automated system. To ensure a baseline level of accuracy, documents having a smaller likelihood of accurate automated processing may be routed to a manual system.
Public/Granted literature
- US20210073532A1 METAMODELING FOR CONFIDENCE PREDICTION IN MACHINE LEARNING BASED DOCUMENT EXTRACTION Public/Granted day:2021-03-11
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