Intelligent Interaction System of Distance Education Based on Natural Language Matching

Abstract

Rapid development of distance education enables intelligent interaction as an important part to utilize resources in knowledge database of distance education network and to automatically answer questions from students. It can also improve teaching efficiency and quality. Therefore, intelligent interaction system also becomes a research focus. The proposed system represents relation among words by establishing natural language thesaurus database. It returns the closest answer by computing similarity among questions. Key techniques as natural language processing, semantic analysis and fuzzy matching to implement intelligent interaction system were also presented.