| 一种改进的汉语全文无指导词义消歧方法 |
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| 引用本文： | 李旭,刘国华,张东明. 一种改进的汉语全文无指导词义消歧方法[J]. 自动化学报, 2010, 36(1): 184-187. DOI: 10.3724/SP.J.1004.2010.00184 |
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| 作者姓名： | 李旭 刘国华 张东明 |
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| 作者单位： | 1.燕山大学信息科学与工程学院 秦皇岛 066004 |
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| 基金项目： | 国家自然科学基金(60773100)资助~~ |
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| 摘 要： | 针对现存的基于EM (Expectation maximization)迭代的无指导词义消歧方法收敛缓慢、计算量大的问题, 利用互信息和Z-测试结合的方法选取特征, 并通过一种 统计学习算法估算初始参数值. 实验结果表明改进方法有效地提高了汉语词义消歧的准确率, 具有良好的扩展性和实用性.
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| 关 键 词： | 词义消歧 无指导学习 特征提取 参数估计 |
| 收稿时间： | 2008-11-06 |
| 修稿时间： | 2009-05-06 |
An Improved Word Sense Disambiguation Method for Chinese Full-words Based on Unsupervised Learning |
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| LI Xu LIU Guo-Hua ZHANG Dong-Ming.College of Information Science , Engineering,Yanshan University,Qinhuangdao .Qinhuangdao Institute of Technology,Qinhuangdao. An Improved Word Sense Disambiguation Method for Chinese Full-words Based on Unsupervised Learning[J]. Acta Automatica Sinica, 2010, 36(1): 184-187. DOI: 10.3724/SP.J.1004.2010.00184 |
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| Authors: | LI Xu LIU Guo-Hua ZHANG Dong-Ming.College of Information Science Engineering Yanshan University Qinhuangdao .Qinhuangdao Institute of Technology Qinhuangdao |
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| Affiliation: | 1.College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004;2.Qinhuangdao Institute of Technology, Qinhuangdao 066100 |
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| Abstract: | The existing word sense disambiguation methods based on expectation maximization (EM) unsupervised learning need a large amount of computation and converge slowly. To address the problems, an improved method is proposed, which makes use of mutual information theory based on Z-test to select features and uses a statistical learning algorithm to estimate initial parameter values. The experimental result shows that the proposed method improves effectively the precision of word sense disambiguation and has good expansibility and practicability. |
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| Keywords: | Word sense disambiguation unsupervised learning feature extraction parameter estimation |
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