for anti-money laundering (AML). We review the state-of-the-art AI methods for AML and
extend the discussion by proposing a framework that utilizes advanced natural language
processing and deep-learning techniques to facilitate next-generation AML technologies.
Our framework utilizes unstructured external information to assist domain experts, aiming to
decrease the workload for the human investigator. We bridge the gap between the current …