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首页> 外文期刊>Journal of Harbin Institute of Technology >The question answer system based on natural language understanding
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The question answer system based on natural language understanding

机译：基于自然语言理解的问答系统

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摘要

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.
机译：自动问答系统（QAS）是一种基于Internet的高性能软件系统。它的关键技术是基于自然语言理解的相互关联技术，包括知识库和语料库的构建，文本的分词和POS标签，句子的语法分析和语义分析等。本文主要研究知识的内涵- QAS中基于语义网络的信息，QAS中知识信息的随机语法分析模型LSF，QAS的结构和构成。对LSF模型参数进行了实验，证明了它们的可行性。同时，通过我们为银行开发的“有限域QAS”，这些技术被证明是有效且可推广的。

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