Invention Grant
- Patent Title: Semantic concept matching using enhanced weak supervision
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Application No.: US17578566Application Date: 2022-01-19
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Publication No.: US12032912B2Publication Date: 2024-07-09
- Inventor: Gurkan Solmaz , Flavio Cirillo , Fabio Maresca
- Applicant: NEC Laboratories Europe GmbH
- Applicant Address: DE Heidelberg
- Assignee: NEC CORPORATION
- Current Assignee: NEC CORPORATION
- Current Assignee Address: JP Tokyo
- Agency: Leydig, Voit & Mayer, Ltd.
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F40/169 ; G06V30/19

Abstract:
A method augments data labels of a machine learning task. The method includes applying at least one labeling function for each of a plurality of pairs of semantic concepts and producing a labeling matrix, computing pairwise similarity scores using similarity metrics for each of the pairs of semantic concepts, augmenting the labeling matrix using the pairwise similarity scores to increase a density of the labeling matrix, and inputting the labeling matrix to a label aggregator to apply a single label for each of the pairs of semantic concepts labeled by the at least one labeling function.
Public/Granted literature
- US20230092447A1 SEMANTIC CONCEPT MATCHING USING ENHANCED WEAK SUPERVISION Public/Granted day:2023-03-23
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