A Preliminary Approach to the Automatic Extraction of Business Rules from Unrestricted Text in the Banking Industry

Authors:
José L. Martínez-Fernández;José C. González;Julio Villena;Paloma Martínez
Affiliations:
DAEDALUS --- Data, Decisions and Language S.A., Madrid, Spain 28031 and Computer Science Department, Universidad Carlos III de Madrid, Madrid, Spain 29811 Leganés;DAEDALUS --- Data, Decisions and Language S.A., Madrid, Spain 28031 and Dept. Telemática, Universidad Politécnica de Madrid, ETSI Telecomuncación, Madrid, Spain 28040;DAEDALUS --- Data, Decisions and Language S.A., Madrid, Spain 28031;Computer Science Department, Universidad Carlos III de Madrid, Madrid, Spain 29811 Leganés
Venue:
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Year:
2008

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Abstract

This paper addresses the problem of extracting formal statements, in the form of business rules, from free text descriptions of financial products or services. This automatic process is integrated in the banking software factory, permitting business analysts the formal specification, direct implementation and fast deployment of new products. This system is fully integrated with the typical software methodologies and architectures used in the banking industry for conventional development of backoffice or online applications.