Financial Entities

Combination of Rule-based and Textual Similarity Approaches to Match Financial Entities
Matching financial entities (FEs) is important for many private and governmental organizations. In this paper we describe the problem of matching such FEs across three datasets: FFIEC, LEI and SEC. We were able to achieve an f-measure of 93.78% in the first task, which is comparable to the maximum 97.44%, and 70.44% for the second task, where the maximum is 88.38%.
Ahmad Samiei, Ioannis Koumarelas, Michael Loster, Felix Naumann
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