Patent ID: 11875253
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:
obtain input data in connection with a first entity resolution model, wherein the input data comprise labeled input data and unlabeled input data;
identify a section of the unlabeled input data to be used in training a neural network entity resolution model, wherein said identifying comprises implementing one or more active learning algorithms in connection with the first entity resolution model, and wherein implementing the one or more active learning algorithms comprises partitioning the unlabeled input data into two or more subsets using at least one partition sampling mechanism, and selecting, as the section of the unlabeled input data to be used in training the neural network entity resolution model, one or more portions of the unlabeled input data from each of the two or more subsets based at least in part on entropy values assigned to the unlabeled input data;
train, using (i) the section of the unlabeled input data and (ii) one or more deep learning techniques, the neural network entity resolution model, wherein using the one or more deep learning techniques comprise implementing one or more distributed representations of entity record pairs for classification; and
perform one or more entity resolution tasks by applying the trained neural network entity resolution model to one or more datasets.