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An Ensemble Approach to Financial Entity Matching for the FEIII 2016 Challenge

Financial entities are often referred to with ambiguous descriptions and identifiers. To tackle this issue, the Financial Entity Identification and Information Integration1 (FEIII) Challenge requires participants to automatically reconcile financial entities among three datasets: the Federal Financial Institution Examination Council2 (FFIEC), the Legal Entity Identifiers (LEI) and the Security and Exchange Commission3 (SEC). Our approach is based on the combination of different Naive Bayes classifiers through an ensemble approach. The evaluation on the Gold Standard developed by the challenge organizers shows F1-scores that are above the average of the other participants for the two proposed tasks.