Invention Grant
- Patent Title: Collaborative information extraction
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Application No.: US16425584Application Date: 2019-05-29
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Publication No.: US11551437B2Publication Date: 2023-01-10
- Inventor: Ismini Lourentzou , Anna Lisa Gentile , Daniel Gruhl , Alfredo Alba , Petar Ristoski , Chad Eric DeLuca , Linda Ha Kato , Chris Kau , Steven R. Welch
- 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: Lieberman & Brandsdorfer, LLC
- Main IPC: G06V10/774
- IPC: G06V10/774 ; G06K9/62 ; G06N3/04 ; G06F40/169 ; G06V10/778

Abstract:
Embodiments relate to a system, program product, and method for information extraction and annotation of a data set. Neural models are utilized to automatically attach machine annotations to data elements within an unlabeled data set. The attached machine annotations are evaluated and a score is attached to the annotations. The score reflects a confidence of correctness of the annotations. A labeled data set is iteratively expanded with selectively evaluated annotations based on the attached score. The labeled data set is applied to an unexplored corpus to identify matching corpus data to populated instances of the labeled data set.
Public/Granted literature
- US20200380311A1 Collaborative Information Extraction Public/Granted day:2020-12-03
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