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Q \u0026 A on the automatic acquisition of research

Author: MengXiangYan
Tutor: YuZhengTao
School: Kunming University of Science and Technology
Course: Computer Software and Theory
Keywords: Answering System Restricted domain Q \u0026 A on access Domain Question Answering filter Related Q \u0026 filter
CLC: TP391.1
Type: Master's thesis
Year: 2008
Downloads: 42
Quote: 0
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Abstract


Q \u0026 A on the scale and quality of impact based on the FAQ set answering system performance an important factor , Q library generally artificial constructs , often need to spend a lot of time and human resources . This paper focuses on the Q \u0026 A page Q \u0026 A library build process automatically obtain Domain Question Answering filter and Q \u0026 filter technology a series of research and discussion , mainly to obtain the results of the following aspects : ( 1) a DOM-based Web Q \u0026 A on the automatic acquisition method . This method will parse the HTML page into a DOM tree form , extract the text of the tree node as a Q \u0026 A on the candidate , to extract classification feature based on the DOM tree node and structural information using the improved Bayesian classification algorithm , structural classification model to achieve from the web automatically obtain the Q \u0026 A on the method . Answers to automatically obtain experimental results show that the method with good results . (2) a combination of syntactic structure of relationships and characteristics in the field of the field Q \u0026 A filtering method . The research domain knowledge base , combined with the characteristics of the field of tourism in Yunnan , to build the knowledge base of the field of tourism in Yunnan . On the basis of the analysis of syntactic structure , sentence trunk and domain vocabulary is selected as the classification feature , using the improved Bayesian classifier Domain Question Answering filter . Experimental results show that the syntactic structure of relations and characteristics in the field of Domain Question Answering has a good effect on the filter . (3) Q \u0026 A on the characteristics oriented word combinations and sentences Q \u0026 A filtering method . The method by calculating the word combination or sentence and Q \u0026 A on the similarity to determine whether the two related . As the basis for calculating the semantic similarity of the words \Syntactic structure analysis based on extraction with a pair of Q \u0026 A on , and to calculate the effective match between a pair of similarity , in order to achieve the integration of lexical , syntactic and semantic question-and-answer similarity calculation . Word combinations and sentences Q \u0026 filter experimental results show that this method with good results . (4 ) the use of the research results, to build a Web Q \u0026 A Q \u0026 A Q \u0026 filter prototype system for word combinations and sentences automatically obtain the prototype system , the field of tourism in Yunnan filter prototype system .

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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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