Invention Grant
- Patent Title: Machine learned document loss recovery
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Application No.: US15964803Application Date: 2018-04-27
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Publication No.: US10885270B2Publication Date: 2021-01-05
- Inventor: Andrew R. Freed , Corville O. Allen
- 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: Conley Rose, P.C.
- Main IPC: G06F40/194
- IPC: G06F40/194 ; G06N20/00 ; G06F40/14 ; G06F40/166

Abstract:
A computer-implemented method includes receiving first lossy converted documents. The computer-implemented method includes generating corrected documents for the first lossy converted documents. Each of the corrected documents includes edit markers that reflect structure changes relative to a corresponding document of the first lossy converted documents. The computer-implemented method includes generating feature vectors for the first lossy converted documents. The feature vectors include structure features of the first lossy converted documents. The computer-implemented method includes training one or more models based on the structure features and the edit markers. The computer-implemented method includes applying the trained one or more models to second lossy converted documents to determine proposed structure edits. The computer-implemented method includes transforming the second lossy converted documents to second corrected documents by applying one or more of the proposed structure edits.
Public/Granted literature
- US20190332644A1 MACHINE LEARNED DOCUMENT LOSS RECOVERY Public/Granted day:2019-10-31
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