Patent ID: 11928186
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. An apparatus comprising:
at least one processor; and
at least one memory coupled to the at least one processor, wherein the at least one memory comprises instructions which, when executed by the at least one processor, cause the at least one processor to:
generate, for each source knowledge data structure in a corpus comprising a plurality of source knowledge data structures, a label vector representation of the source knowledge data structure to thereby generate a plurality of label vector representations;
determine co-occurrence scores for each pairing of labels in a plurality of labels, by generating statistical measures of the co-occurrence of labels in the pairings of labels across the plurality of label vector representations, to thereby generate a label co-occurrence data structure;
receive an output of a machine learning (ML) computer model, wherein the output is a vector output specifying probability values associated with labels in the plurality of labels;
configure a knowledge driven reasoning (KDR) computer model with at least one threshold and at least one delta value, wherein the at least one threshold specifies a condition of a co-occurrence of a first label in the output of the ML computer model with a second label in the plurality of labels which, if present, causes the at least one delta value to be applied to modify a probability value associated with the second label in the output of the ML computer model;
execute the KDR computer model on the output of the ML computer model to modify one or more probability values in the output of the ML computer model and generate a modified output of the ML computer model; and
output the modified output to a downstream computing system.