MITA: An Information-Extraction Approach to the Analysis of Free-Form Text in Life Insurance Applications

Glasgow, Barry, Mandell, Alan, Binney, Dan, Ghemri, Lila, Fisher, David

AI Magazine 

MetLife processes over 260,000 life insurance applications a year. MetLife's intelligent text analyzer (MITA) uses the information-extraction technique of natural language processing to structure the extensive textual fields on a life insurance application. MITA is currently processing 20,000 life insurance applications a month. Eighty-nine percent of the textual fields processed by MITA exceed the established confidence-level threshold and are potentially available for further analysis by domain-specific analyzers.