Automating Review of Forms for International Trade Transactions: A Natural Language Processing Approach

26 Pages Posted: 31 Oct 2008

See all articles by Vasant Dhar

Vasant Dhar

New York University (NYU) - Leonard N. Stern School of Business; New York University (NYU) - Department of Information, Operations, and Management Sciences

Padmanabhan Ranganathan

affiliation not provided to SSRN

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

Suggested Citation

Dhar, Vasant and Ranganathan, Padmanabhan, Automating Review of Forms for International Trade Transactions: A Natural Language Processing Approach (March 1986). NYU Working Paper No. IS-86-20, Available at SSRN: https://ssrn.com/abstract=1290081

Vasant Dhar (Contact Author)

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
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HOME PAGE: http://www.stern.nyu.edu/~vdhar

New York University (NYU) - Department of Information, Operations, and Management Sciences

44 West Fourth Street
New York, NY 10012
United States

Padmanabhan Ranganathan

affiliation not provided to SSRN

No Address Available

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