| Network Curriculum Intelligent Question Answering System is a very hot spot and difficulty spot in the research community of natural language processing,it combines natural language processing technology and information retrieval technology etc.A Question Answering System can return student a concise and accurate answer for question in natural language.But there is still no mature question answering system exploited by now.In this paper,after has discussed the domestic and foreign research situation, the correlative theories and the realization technology of question answering system,it has analyzed the chief obstacles of question answering system existed at present.Such as the low technologies of the natural language understanding, the resources insufficiency of the repository,the singleness of the answer way and so on.In order to overcome these barriers,the paper designs a network curriculum intelligent answering system,for enhancing the system's intelligence and utility,the system's mainly takes natural language understanding technology and construction of repository into account in planning.It just about the place of innovation of the paper.For the natural language understanding,in the past,the natural language just segments the proposed question into keywords automatically,but not analyzing and understanding the semantics of the question.The paper researches it from semantic analysis,using the semantics similarity computational method based on the specific domain weighting,to realize similarity computation between the student interrogative sentence and the repository interrogative sentence,then,it can enhances the natural language understanding ability,also improves the intelligent question answering system's rate of accuracy.Regarding the repository construction,besides using traditional relative database to store data,this paper also applies the XML technology for constructing the repository,which has guaranteed the knowledge's openness and knowledge's independent development ability. |