Abstract
The NLtoFOL system is an interactive web-based system for learning to convert natural language (NL) sentences into first order logic (FOL). In this paper, we present a difficulty estimating expert system that determines the difficulty level of a sentence’s conversion process. Our approach is based on the complexity of the corresponding FOL formula instead of the NL sentence itself. Parameters like the number, the type and the order of quantifiers, the number of implications and the number of different connectives are taken into account. Experimental results show that for a significant part of sentences the difficulty estimating system produces the correct outputs.
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References
Alonso, J.A., Aranda, G.A., Martín-Matceos, F.J.: FITS: Formalization with an Intelligent Tutor System. In: Proceedings of the IV International Conference on Multimedia and Information and Communication Technologies in Education (2006)
Alonso, J.A., Aranda, G.A., Martn–Mateos, F.J.: KRRT: Knowledge representation and reasoning tutor system. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds.) EUROCAST 2007. LNCS, vol. 4739, pp. 400–407. Springer, Heidelberg (2007)
Barker-Plummer, D., Cox, R., Dale, R.: Dimensions of Difficulty in Translating Natural Language into First-Order Logic. In: 2nd International conference on Educational Data Mining, Cordoba, Spain, pp. 220–228 (2009)
Brachman, R.J., Levesque, H.J.: Knowledge Representation and Reasoning. Elsevier, Amsterdam (2004)
Friedman-Hill, E.: Jess in Action: Rule-Based Systems in Java. Manning Publications Company (2003)
Genesereth, M.R., Nilsson, N.J.: Logical Foundations of AI. Morgan Kaufmann, Palo Alto (1987)
Hatzilygeroudis, I.: Teaching NL to FOL and FOL to CL Conversions. In: Proceedings of the 20th International FLAIRS Conference, Key West, FL, pp. 309–314. AAAI Press, Menlo Park (2007)
Hatzilygeroudis, I., Perikos, I.: A web-based interactive system for learning NL to FOL conversion. In: Damiani, E., Jeong, J., Howlett, R.J., Jain, L.C. (eds.) New Directions in Intelligent Interactive Multimedia Systems and Services - 2. SCI, vol. 226, pp. 297–307. Springer, Heidelberg (2009)
Koutsojannis, C., Beligiannis, G., Hatzilygeroudis, I., Papavlasopoulos, C., Prentzas, J.: Using a hybrid Al approach for exercise difficulty level adaptation. International Journal of Continuing Engineering Education and Life-Long Learning 17(4-5), 256–272 (2007)
Russell, S., Norvig, P.: Artificial Intelligence: a modern approach, 2nd edn. Prentice Hall, Upper Saddle River (2003)
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Perikos, I., Grivokostopoulou, F., Hatzilygeroudis, I., Kovas, K. (2011). Difficulty Estimator for Converting Natural Language into First Order Logic. In: Watada, J., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22194-1_14
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DOI: https://doi.org/10.1007/978-3-642-22194-1_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22193-4
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