Abstract
Tools for generating learning material in automatic or semiautomatic way are needed in order to lighten the development of Computer Supported Learning Systems. This paper describes an approach to semi automatic generation of didactic resources from electronic documents using ontologies and Natural Language Processing techniques.
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References
LarraƱaga, M.: Enhancing ITS building process with semi-automatic domain acquisition using ontologies and NLP techniques. In: Young Researches track of the Intelligent Tutoring Systems (ITS 2002). Biarritz, France, pp. 5ā8 (2002)
Meder, N.: Didaktische ontologien. In: Globalisierung und Wissensorganisation: Neue Aspekte fĆ¼r Wissen, Wissenschaft und Informationssysteme, pp. 401ā416 (2000)
Leidig, T.: L3āTowards an Open Learning Environment. ACM Journal of Educational Resources in ComputingĀ 1(1), 5ā11 (2001)
Hughes, T., Ramage, D.: Lexical Semantic Relatedness With Random Graph Walks. In: Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Prague, pp. 581ā589 (2007)
LarraƱaga, M., Niebla, I., Rueda, U., Elorriaga, J.A., Arruarte, A.: Towards Collaborative Domain Module Authoring. In: IEEE International Conference on Advanced Learning Technologies 2007 (ICALT 2007), pp. 814ā818 (2007)
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LarraƱaga, M., Elorriaga, J.A., Arruarte, A. (2008). Semi Automatic Generation of Didactic Resources from Existing Documents. In: Woolf, B.P., AĆÆmeur, E., Nkambou, R., Lajoie, S. (eds) Intelligent Tutoring Systems. ITS 2008. Lecture Notes in Computer Science, vol 5091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69132-7_91
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DOI: https://doi.org/10.1007/978-3-540-69132-7_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69130-3
Online ISBN: 978-3-540-69132-7
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