Abstract
This paper develops a new semantic framework that supports employee performance appraisals, based on inductive logic programming and data mining techniques. The framework is applied to learn a grammar for writing SMART objectives and provide feedback. The paper concludes with an empirical evaluation of the framework which shows promising results.
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References
Murphy, K., Cleveland, J.: Performance Appraisal: An Organizational Perspective, 3rd edn., 349 pages. Allyn and Bacon (1991)
Rowland, C., Hall, R.: Organizational Justice and Performance: is Appraisal Fair? EuroMed Journal of Business 7(3), 280–293 (2012)
Hurd, A.R., et al.: Leisure Service Management. Human Kinetics, 386 pages (2008)
Manning, C.D., Schütze, H.: Foundations of Statistical Natural Language Processing, 680 pages. MIT Press, Cambridge (1999)
Alpaydin, E.: Introduction to Machine Learning, 2nd edn., 584 pages. MIT Press (2010)
Muggleton, S., De Raedt, L.: Inductive Logic Programming: Theory and Methods. Proceedings of Journal of Logic Programming 19(20), 629–679 (1994)
Witten, I., et al.: Data Mining: Practical Machine Learning Tools and Techniques, 3rd edn., 664 pages. Morgan Kaufmann, Elsevier (2011)
Cunningham, H., et al.: Developing Language Processing Components with GATE Version 7 (A User Guide), The University of Sheffield (2012), http://GATE.ac.uk/
Miller, G., et al.: Introduction to WordNet: An On-line Lexical Database. International Journal of Lexicography 3(4), 235–244 (1990)
Pedersen, T., Kolhatkar, V.: WordNet: SenseRelate:: All Words - A Broad Coverage Word Sense Tagger that Maximizes Semantic Relatedness. In: The 2009 Annual Conference of the North American Chapter of the Assoc. Comp. Lingui., pp. 17–20 (2009)
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Aqel, D., Vadera, S. (2013). A Framework for Employee Appraisals Based on Inductive Logic Programming and Data Mining Methods. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2013. Lecture Notes in Computer Science, vol 7934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38824-8_49
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DOI: https://doi.org/10.1007/978-3-642-38824-8_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38823-1
Online ISBN: 978-3-642-38824-8
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