Question answer system based on natural language understanding

Automatic Question Answer System (QAS) is a kind of high-powered software system based on Internet. Its key technology is the interrelated technology based on natural language understanding, including the construction of knowledge base and corpus, the Word Segmentation and POS Tagging of text, the Grammatical Analysis and Semantic Analysis of sentences etc. This thesis dissertated mainly the denotation of knowledge-information based on semantic network in QAS, the stochastic syntax-parse model named LSF of knowledge-information in QAS, the structure and constitution of QAS. And the LSF models parameters were exercised, which proved that they were feasible. At the same time, through the limited-domain QAS which was exploited for banks by us, these technologies were proved effective and propagable.