Invention Grant
- Patent Title: Automatically curating ground truth data while avoiding duplication and contradiction
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Application No.: US15884204Application Date: 2018-01-30
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Publication No.: US11200452B2Publication Date: 2021-12-14
- Inventor: Stefan Van Der Stockt , Sihang B. Fang , Manali Jairam Chanchlani , Rahul P. Akolkar , Sarah Lynch , Kristi Farinelli
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Zilka-Kotab, P.C.
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N20/00

Abstract:
A computer-implemented method according to one embodiment includes identifying a first classifier training data element and a second classifier training data element, calculating a similarity metric between the first classifier training data element and the second classifier training data element, and determining a classification for the first classifier training data element and the second classifier training data element, utilizing the similarity metric between the first classifier training data element and the second classifier training data element.
Public/Granted literature
- US20190236409A1 AUTOMATICALLY CURATING GROUND TRUTH DATA WHILE AVOIDING DUPLICATION AND CONTRADICTION Public/Granted day:2019-08-01
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