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Research of Question Answering Technology and Application Based on Natural Language Understanding

Author: WangZhiHui
Tutor: JiangJianGuo
School: Xi'an University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Response techniques Segmentation Knowledge base Natural Language Understanding
CLC: TP391.1
Type: Master's thesis
Year: 2008
Downloads: 99
Quote: 1
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Abstract


Automatic answering technology is very popular research directions in the field of natural language processing , it involves a lot of cutting-edge research technology , difficult technology research is not mature enough . Its key technologies , including the knowledge base construction, understanding of user questions and answers matching technology . This paper studies the auto - response technology based on natural language understanding , the main work is as follows : the designed weights of different multi- level knowledge base structure , a new knowledge representation method , the method supports any logical relationship scalability , facilitate the addition and modification of knowledge . 2 . Multilingual Unicode ( UCS2) , to make automatic answering technical support multilingual Answers . Index tree . Designed to search for words greatly improve the efficiency of the segmentation , improved the maximum positive sequence segmentation algorithm , reverse longest word segmentation algorithm , two-way segmentation algorithm , new words based on word frequency statistics algorithm . 4 . Proposed a new program , a strong material library context , automatically extract an answer that three answer matching program . The test results prove that the improved natural language understanding technology and more scientific knowledge representation method and answer extraction technology , auto - response performance has been further improved . The technology involved in auto-answer broad range of knowledge , only one of the three key technologies studied after parsing , refers to generational relationships , name recognition to do further research .

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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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