Applying machine learning to electronic form filling

Leonard A. Hermens; Jeffrey C. Schlimmer

doi:10.1117/12.141782

11 March 1993 Applying machine learning to electronic form filling

Leonard A. Hermens, Jeffrey C. Schlimmer

Proceedings Volume 1964, Applications of Artificial Intelligence 1993: Machine Vision and Robotics; (1993) https://doi.org/10.1117/12.141782
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Leonard A. Hermens and Jeffrey C. Schlimmer "Applying machine learning to electronic form filling", Proc. SPIE 1964, Applications of Artificial Intelligence 1993: Machine Vision and Robotics, (11 March 1993); https://doi.org/10.1117/12.141782

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