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Research and Implementation of Chinese Question-Answering System Based on Multi-Agent & Meta Search Engine

Author: LiHuan
Tutor: ZuoShuLing
School: Shijiazhuang Railway Institute
Course: Applied Computer Technology
Keywords: Answering System Agent Meta-search Answer Extracting Multi-document extraction Vector space model Similarity calculation
CLC: TP391.1
Type: Master's thesis
Year: 2009
Downloads: 25
Quote: 0
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Abstract


In recent years, with the development of the World Wide Web (WWW) , search engine and information retrieval has also been rapid development. Due to the technical characteristics of openness , the information on the Internet more and more rich , on the one hand, provide vast amounts of information for users to obtain information , but on the other hand there has been the phenomenon of \obtain the required information has become increasingly difficult. Again on the search engine search results information like find a needle in a haystack . As a result, new information retrieval technology - answering system came into being . This article first introduces the research background of the Q \u0026 A system , the status quo at home and abroad and the research content , then the Chinese word segmentation and analysis after the focus of this article : meta-search the Agent information retrieval and multi- document answer extraction . Introduction of the metasearch Agent technology in the information retrieval part summary and the URL of the candidate answers from more than one member of the search engines , by removing redundant web address , the candidate with the HTML markup language to determine the effectiveness of the web address two functional modules answer set . Metasearch technology to improve the recall rate of the candidate answers , for answer extraction module provides a broad and comprehensive set of candidate answers . In answer extraction part , the first to introduce multi-document extraction techniques and basic line , and then propose a multi-document answer extraction method . Locate the answers to the multiple-document conjunctive on regular expression answer candidate set of the information retrieval part of the cleaning work of the page , using the vector space model (VSM) to calculate the similarity of the issues with each candidate answer set of secondary candidate answers clauses and extract effective sentence using secondary candidate answers screening based on the similarity of the word surface characteristics of the final sentence of the answer . In this paper, the realization of each module of the Q \u0026 A system , and system test and evaluation . Finally , the full text of the summary, and the next direction .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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