Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dhar, Vasant | - |
dc.contributor.author | Ranganathan, Padmanabhan | - |
dc.date.accessioned | 2006-02-27T14:38:58Z | - |
dc.date.available | 2006-02-27T14:38:58Z | - |
dc.date.issued | 1986-03 | - |
dc.identifier.uri | http://hdl.handle.net/2451/14526 | - |
dc.description.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. | en |
dc.format.extent | 3438997 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language | English | EN |
dc.language.iso | en_US | - |
dc.publisher | Stern School of Business, New York University | en |
dc.relation.ispartofseries | IS-86-20 | - |
dc.subject | Office Automation | en |
dc.subject | Forms Processing | en |
dc.subject | Natural Language Processing | en |
dc.subject | Artificial Intelligence | en |
dc.title | AUTOMATING REVIEW OF FORMS FOR INTERNATIONAL TRADE TRANSACTIONS: A NATURAL LANGUAGE PROCESSING APPROACH | en |
dc.type | Working Paper | en |
dc.description.series | Information Systems Working Papers Series | EN |
Appears in Collections: | IOMS: Information Systems Working Papers |
Files in This Item:
File | Description | Size | Format | |
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IS-86-20.pdf | 3.36 MB | Adobe PDF | View/Open |
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