Systems and methods for record linkage and paraphrase generation using surrogate learning

摘要

A method of using unlabeled data to train a classifier is disclosed. In one embodiment related to record linkage, the method entails retrieving a set of candidate data records from a master database based on a least one update record. Next, a surrogate learning technique is used to identify one of the candidate data records as a match for the one update record. Lastly, the exemplary method links or merges the update record and the identified one of the candidate data records.