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A machine-learning apprentice for the completion of repetitive formsForms 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 or computers. The high cost of programmers and other resources prohibits many organizations from benefiting 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 87 percent in keystroke effort and correctly predicts nearly 90 percent of the values on the form.
Document ID
Document Type
Conference Paper
Hermens, Leonard A.
(Washington State Univ. Pullman, WA, United States)
Schlimmer, Jeffrey C.
(Washington State Univ. Pullman, WA, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1994
Publication Information
Publication: NASA. Johnson Space Center, The Seventh Annual Workshop on Space Operations Applications and Research (SOAR 1993), Volume 1
Subject Category
Computer Programming And Software
Accession Number
Funding Number(s)
Distribution Limits
Work of the US Gov. Public Use Permitted.
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