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

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.

Developing an Intelligent Tutoring System that has Automatically Generated Hints and Summarization for Algebra and Geometry

“…The problem's text is sent to the NLU agent where the available information is extracted through words segmentation, semantic analysis and discourse clustering (Li, Zhao, Li, & Cheng, 2013;Li, Zhao, Yi, Cheng, 2011;Xu, Zhao, Yi, Li, Cheng, 2012;Xu, Zhao, Cheng, 2010). Afterwards, the agent selects the known conditions and unknown conditions from the information.…”