| A Novel Multi-classifier Integrated Model for Chinese Noun Sense Disambiguation |
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| 引用本文： | Jianyong Duan Yi Hu Weilin Wu Hui Liu Ruzhan Lu. A Novel Multi-classifier Integrated Model for Chinese Noun Sense Disambiguation[J]. 通讯和计算机, 2006, 3(5): 8-13 |
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| 作者姓名： | Jianyong Duan Yi Hu Weilin Wu Hui Liu Ruzhan Lu |
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| 作者单位： | Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, China |
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| 基金项目： | Acknowledgments： This work is supported by NSFC major research program （No.60496326）, Basic Theory and Core Techniques of Non-canonical Knowledge and 863 Project of China （No.2001AA114210-11）. |
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| 摘 要： | We propose a Multi-classifier Compatible Computational Model （MCCM） for Chinese noun sense disambiguation in this paper. In natural language processing, many problems can be viewed as classification in nature. However, different classifiers cannot be efficiently integrated by a general standard. Quantification rule is introduced for flexible integration of statistical and role-based classifiers. Rules are traced into the corpus for acquiring their quantification information. The other contribution is Projected Performance Evaluation Matrix （P-PEM）. Classification performance is improved because it contains more accurate classification information for every classifier. Many faint classifiers boost a powerful MCCM model. Finally the experiment shows its advantages.
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| 关 键 词： | 语言程序 中国 自然语言处理 计算机语言 |
A Novel Multi-classifier Integrated Model for Chinese Noun Sense Disambiguation |
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| Abstract: | |
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| Keywords: | Natural Language Processing Classifier Fusion Quantification Rule |
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