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Research and Realization of the Biography Question-Answering System
Author: XingXinLai
Tutor: HeZhongShi
School: Chongqing University
Course: Computer Software and Theory
Keywords: Answering System Web Mining Figures Resume Frequent pattern mining
CLC: TP311.52
Type: Master's thesis
Year: 2009
Downloads: 86
Quote: 1
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Abstract
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Current search engines are mainly based on string matching way, the user can only enter keywords to search, this approach can not be accurately obtain the information needed to make up for the deficiencies of the former, and the questions and answers based on natural language search engine to be the next generation search engine trends. Today, Open Domain Question Answering system has a lot of, which relate to the characters, time, place, important historical events, and professional and technical fields, Restricted Domain Question Answering system theory and facing these areas of research and application development to a certain extent promoted the development of Open Domain Question Answering System. Figures resume this restricted field answering system answer extraction program to carry out the study, and implemented a prototype system, which consist primarily of parts work: First, the analysis of the figures resume answering system Research related concepts and implementation techniques. as well as its application requirements and text feature. Second, the proposed the answer extraction scheme based on the frequent subtree mining. The program by parsing tools sample corpus answer text translated into context-free grammar tree and use TreeMiner frequent subtree mining algorithms, from mining frequent pattern generation answer template set. Independent of the syntax tree and answer template collection template matching through calculated on the candidate answers accordingly determine the answer. Then by comparison based on the the frequent subtrees mining and a comparative experiment based on frequent sequence mining both answer extraction program, proved the good results of the the answer extraction program based on the frequent subtree mining. Subsequently, the design and implementation characters resume Answers prototype system. The design includes: the the characters resume answering system data flow design, system features modular design and the main function module data structure design. System implementation including to: Use HtmlParser page parsing tool to automatically extract pages character entry and text; the use StanfrodParser parsing tools to complete the analysis of the syntactic tree and TreeMiner frequent subtree mining algorithms to figure resume answer extraction; demonstrate the prototype system function interface, and performance analysis system and its application prospects. Finally, a summary of research, further research direction.
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
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