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