ABSTRACT
At present, with further research on natural language processing technology, the lexical, syntactic, semantic, and pragmatic research achievements are beginning to be applied in the automatic question answering system. Wei Chuyuan et al. used the valid information in event modeling to enhance the accuracy of questions in semantic representation annotation in the Chinese question answering system (Nguyen, 2015). Kang Haiyan et al. set up a Web intelligent question answering system based on the questions in semantic representations. Tang Suqin et al. introduced dependency grammar in Chinese sentence parsing and extracted the semantics of questions and the limitation relationship among each component of the question so as to obtain the question understanding results aiming towards the domain ontology knowledge base.
