Share Email Print

Proceedings Paper

Applying machine learning to electronic form filling
Author(s): Leonard A. Hermens; Jeffrey C. Schlimmer
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Forms of all types are used in businesses and government agencies and most of them are filled in by hand. Yet much time and effort has been expended to automate form-filling by programming specific systems on computers. The high cost of programmers and other resources prohibits many organizations from benefitting from efficient office automation. A learning apprentice can be used for such repetitious form-filling tasks. In this paper, we establish the need for learning apprentices, describe a framework for such a system, explain the difficulties of form-filling, and present empirical results of a form-filling system used in our department from September 1991 to April 1992. The form-filling apprentice saves up to 84% in keystroke effort and correctly predicts nearly 90% of the values on the form.

Paper Details

Date Published: 11 March 1993
PDF: 11 pages
Proc. SPIE 1964, Applications of Artificial Intelligence 1993: Machine Vision and Robotics, (11 March 1993); doi: 10.1117/12.141782
Show Author Affiliations
Leonard A. Hermens, Washington State Univ. (United States)
Jeffrey C. Schlimmer, Washington State Univ. (United States)

Published in SPIE Proceedings Vol. 1964:
Applications of Artificial Intelligence 1993: Machine Vision and Robotics
Kim L. Boyer; Louise Stark, Editor(s)

© SPIE. Terms of Use
Back to Top