US 12,032,912 B2
Semantic concept matching using enhanced weak supervision
Gurkan Solmaz, Heidelberg (DE); Flavio Cirillo, Heidelberg (DE); and Fabio Maresca, Heidelberg (DE)
Assigned to NEC CORPORATION, Tokyo (JP)
Filed by NEC Laboratories Europe GmbH, Heidelberg (DE)
Filed on Jan. 19, 2022, as Appl. No. 17/578,566.
Claims priority of provisional application 63/241,146, filed on Sep. 7, 2021.
Prior Publication US 2023/0092447 A1, Mar. 23, 2023
Int. Cl. G06F 40/30 (2020.01); G06F 40/169 (2020.01); G06V 30/19 (2022.01)
CPC G06F 40/30 (2020.01) [G06F 40/169 (2020.01); G06V 30/19093 (2022.01); G06V 30/19147 (2022.01)] 15 Claims
OG exemplary drawing
 
1. A method for augmenting data labels of a machine learning task, the method comprising:
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.