A Heuristic NLP Based Approach for Getting Didactic Resources from Electronic Documents

  • Authors:
  • Mikel Larrañaga;Jon A. Elorriaga;Ana Arruarte

  • Affiliations:
  • Department of Languages and Information Systems, University of the Basque Country, Donostia E-20080;Department of Languages and Information Systems, University of the Basque Country, Donostia E-20080;Department of Languages and Information Systems, University of the Basque Country, Donostia E-20080

  • Venue:
  • EC-TEL '08 Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts
  • Year:
  • 2008

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Abstract

The development of Computer Supported Learning Systems is a hard task and, therefore, they are not as broadly used as expected yet. Some authors have claimed that tools for generating learning material in automatic or semiautomatic way are needed. This paper describes how didactic resources can be semi automatically generated from electronic documents using ontologies and Natural Language Processing techniques. Gathering atomic didactic resources and combining them is essential to get results that match human instructors' expects. Several didactic resource similarity measuring methods have been implemented and tested.