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Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/14526

Title: AUTOMATING REVIEW OF FORMS FOR INTERNATIONAL TRADE TRANSACTIONS: A NATURAL LANGUAGE PROCESSING APPROACH
Authors: Dhar, Vasant
Ranganathan, Padmanabhan
Keywords: Office Automation
Forms Processing
Natural Language Processing
Artificial Intelligence
Issue Date: Mar-1986
Publisher: Stern School of Business, New York University
Series/Report no.: IS-86-20
Abstract: A major challenge in Office Automation is one of automating routine jobs that involve large-scale processing of ill-formed natural language data. Such data are often present in documents such as forms where it is necessary and/or practical to allow latitude in how the forms may be filled. In this paper, we describe a computational model designed to process free-form textual data in application forms for Letters of Credit (LC), which represent a common vehicle for initiating international trade transactions. The model is based on a variation of the case-frame or thematic-role frame instantiation methods. We describe the implementation of the model, report empirical results with real LC applications, and indicate directions we are currently pursuing to improve its performance.
URI: http://hdl.handle.net/2451/14526
Appears in Collections:IOMS: Information Systems Working Papers

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