ABOUT THE BENEFITS OF EXPLOITING NATURAL LANGUAGE PROCESSING TECHNIQUES FOR E-LEARNING

Diana Pérez-Marín, Ismael Pascual-Nieto, Pilar Rodríguez

Abstract

Natural Language Processing (NLP) is a research field that studies how to automatically interpret/generate information in natural language. Currently, the quality and number of developed NLP resources and techniques permit their application to educational systems, with the potential of widening access to training and opening new ways of teaching. In this paper, the benefits of exploiting the current NLP techniques to improve e-learning systems will be discussed. A brief overview of the state-of-the-art of NLP will be provided and, some real e-learning and e-assessment applications based on the use of NLP techniques will be described to illustrate the benefits of using NLP techniques for e-learning.

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Paper Citation


in Harvard Style

Pérez-Marín D., Pascual-Nieto I. and Rodríguez P. (2008). ABOUT THE BENEFITS OF EXPLOITING NATURAL LANGUAGE PROCESSING TECHNIQUES FOR E-LEARNING . In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-26-5, pages 472-475. DOI: 10.5220/0001532304720475


in Bibtex Style

@conference{webist08,
author={Diana Pérez-Marín and Ismael Pascual-Nieto and Pilar Rodríguez},
title={ABOUT THE BENEFITS OF EXPLOITING NATURAL LANGUAGE PROCESSING TECHNIQUES FOR E-LEARNING},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2008},
pages={472-475},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001532304720475},
isbn={978-989-8111-26-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - ABOUT THE BENEFITS OF EXPLOITING NATURAL LANGUAGE PROCESSING TECHNIQUES FOR E-LEARNING
SN - 978-989-8111-26-5
AU - Pérez-Marín D.
AU - Pascual-Nieto I.
AU - Rodríguez P.
PY - 2008
SP - 472
EP - 475
DO - 10.5220/0001532304720475