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Research of Chinese and Japanese Question Classification

Author: KangZuo
Tutor: RenFuJi
School: Beijing University of Posts and Telecommunications
Course: Pattern Recognition and Intelligent Systems
Keywords: Questions Answered Question classification Support Vector Machine Subset tree kernel function Machine Learning Natural Language Processing
CLC: TP391.1
Type: Master's thesis
Year: 2009
Downloads: 58
Quote: 0
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Abstract


Online Q \u0026 A system to provide prompt and accurate information retrieval results , has accumulated a rich corpus of questions and answers , and therefore being more and more attention . Pre-processing module of the system , as an answer to problems classified as the candidate the answer search as well as the final answer to determine played a guiding role , and can effectively improve the accuracy of the Q \u0026 A system . Use natural language to describe the problem , is relatively short , usually only include a small number of sentences , and the lack of effective context , the traditional text classification method based on lexical information in question classification tasks can not achieve the desired classification results . This article uses the real problems corpus of Chinese and Japanese network answering system , in-depth analysis of the results for the problem of classification of lexical , syntactic , and semantic levels , and explore effective classification method based on different languages ??. Classification method , machine learning method based on support vector machines for the different characteristics of the vector form of tree structure , respectively, using the linear kernel function and sub- set tree kernel function calculation feature similarity and a combination of different types of different levels optimal classification model , the characteristics of the final classification of Chinese and Japanese classification overall accuracy rate of 80.95% and 80.19% , respectively . The wide differences between different kinds of languages ??, in a word , group of words , structure sentences there , so the current classification research carried out for a particular language . This study Chinese and Japanese classification , analysis of the characteristics of each of the two languages ??, and the cause of the problem of classification results different from the lexical , syntactic , and semantic levels . In a comparative study , we found that the classification for Chinese issues the lexical important than syntactic features and semantic features . For Japanese there are a lot of ambiguous expression , lexical , syntactic and semantic analysis results for a Japanese problem classification play an equally important role .

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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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