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Financial institutions have to screen their transactions to ensure that theyare not affiliated with terrorism entities. Developing appropriate solutions todetect such affiliations precisely while avoiding any kind of interruption tolarge amount of legitimate transactions is essential. In this paper, we presentbuilding blocks of a scalable solution that may help financial institutions tobuild their own software to extract terrorism entities out of both structuredand unstructured financial messages in real time and with approximatesimilarity matching approach.

Scalable, Trie-based Approximate Entity Extraction for Real-Time Financial Transaction Screening