One of the most time-consuming tasks in financial crime forensics is transaction monitoring, which involves reviewing millions of transactions each month for signs of criminal activities. A transaction in this context is a movement of money between an originator, i.e., an individual or a company (that in both cases we generally call a legal entity) that sends the money, and a beneficiary, i.e., a legal entity that receives the money, both of which are associated with an account at the respective financial institution. However, this information collected by financial institutions is often noisy due to the loose syntax of theprotocols and the free text fields (e.g., payment description, name of the originator and beneficiary, etc.).