Automating Review of Forms for International Trade Transactions: A Natural Language Processing Approach
26 Pages Posted: 31 Oct 2008
Date Written: March 1986
Abstract
A major challenge in Office Automation is one of automating routine jobs that involvelarge-scale processing of ill-formed natural language data. Such data are often present indocuments such as forms where it is necessary and/or practical to allow latitude in how theforms may be filled. In this paper, we describe a computational model designed to process free-formtextual data in application forms for Letters of Credit (LC), which represent a commonvehicle for initiating international trade transactions. The model is based on a variation of thecase-frame or thematic-role frame instantiation methods. We describe the implementation ofthe model, report empirical results with real LC applications, and indicate directions we arecurrently pursuing to improve its performance.
Keywords: Office Automation, Forms Processing, Natural Language Processing, Artificial Intelligence
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