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