An Analysis of Verb Phase Based on Concept Model for Nature Language Understanding

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Abstract:

The traditional intelligent tutoring system as a web-based education tools used for adaptive learning can’t solve the encountered question in time while the student is learning with the absence of nature language understanding system. In this paper, a web-based intelligent tutoring system is firstly introduced to solve the encountered question in real time. Secondly, a concept model representing the concept connotation, the extension and the relation between them is presented to support the nature language understanding system in order to extract the question’s meaning. Furthermore, a knowledge representation of verb and noun in impersonal mature domain is involved. Thirdly, the semantic processing arithmetic of the verb phase is given. Finally, the result of experiment and application of arithmetic are shown.

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767-772

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May 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] W. C. Symonds, How to fix America's schools, Bus. Week, p.67, Mar. 19, (2001).

Google Scholar

[2] M. Frize and C. Frasson, Decision-support and intelligent tutoring systemsin medical education, Clinical Investigative Med., vol. 23, no. 4, p.266–269, (2000).

Google Scholar

[3] A. Markels, Pitch-perfect PC, U.S. News, p.48, Mar. 17, (2003).

Google Scholar

[4] J. Kim, Y. H. Shinn. An Instructional Strategy Selection Model Based on Agent and Ontology for an Intelligent Tutoring System. 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops, pp: 848-853. (2010).

DOI: 10.1109/waina.2010.147

Google Scholar

[5] Zhao Ke, Hu Gangwei, Xu Wei, et al. Research on Concept and Concept Relation Model Used for Semantic disambiguation of Natural Language[C]. Proceedings of the 5th IEEE International Conference on Cognitive Informatics, Beijing. 2006, pp: 612-616.

DOI: 10.1109/coginf.2006.365555

Google Scholar

[6] Fillmore C.J., The Case for Case. In: Bach E, Harms Reds. Universals in Linguistic Theory, New York: Holt, Rinehart and Winston, pp: 1-88. (1968).

Google Scholar