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Machine Learning in Human Language Technology

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Machine Learning and Its Applications (ACAI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2049))

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Abstract

The undoubted usefulness of present-day information systems is only moderated by the fact that people have to invest substantial effort and training time in order to learn how to use them. Even modern applications with Graphical-User Interfaces (which are considered user-friendly), built-in wizards and on-line context-sensitive help, require a considerable self-training period, thus discouraging most people from fully exploiting their capabilities. In the years to come we expect that information systems will gradually become more and more complex and since the training period is usually proportional to the system complexity, with the usual Human Computer Interaction methods less and less people will have the time to learn how to use a new piece of software.

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© 2001 Springer-Verlag Berlin Heidelberg

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Fakotakis, N.D., Sgarbas, K.N. (2001). Machine Learning in Human Language Technology. In: Paliouras, G., Karkaletsis, V., Spyropoulos, C.D. (eds) Machine Learning and Its Applications. ACAI 1999. Lecture Notes in Computer Science(), vol 2049. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44673-7_14

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  • DOI: https://doi.org/10.1007/3-540-44673-7_14

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  • Print ISBN: 978-3-540-42490-1

  • Online ISBN: 978-3-540-44673-6

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