ATRANS: Automatic Processing of Money Transfer Messages

Steven Lytinen, Anatole Gershman

Unformatted natural-language money transfer messages play an important role in the international banking system. Manually reading such messages and encoding them in the format understandable by a bank’s automatic payment system is relatively slow and expensive. Due to the very restricted nature of the domain, the problem lends itself naturally to a Conceptual Dependency (CD), script-style solution. This paper illustrates the solutions to a number of problems that arise when an academic theory is applied to a real-world problem. In particular, we concentrate on the problem of context localization in the absence of reliable syntactic clues, such as sentence boundaries.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.