| 基于HMSVM模型的中文浅层句法分析 |
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| 引用本文： | 王仲华,卢娇丽,付继宗. 基于HMSVM模型的中文浅层句法分析[J]. 电脑开发与应用, 2013, 0(2): 30-32 |
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| 作者姓名： | 王仲华 卢娇丽 付继宗 |
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| 作者单位： | 太原师范学院数学系;山西大学现代教育技术中心;北方自动控制技术研究所 |
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| 摘 要： | 隐马尔科夫支持向量机(HMSVM)是一种新颖的结构化支持向量机模型,该模型在序列标注学习任务比如英文组块分析中的有效性已经被证明,将该模型用于中文浅层句法分析识别任务,实验结果表明,该模型获得了较好的准确率和召回率。
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| 关 键 词： | 浅层句法 隐马尔科夫支持向量机 序列标注 边界识别 |
Chinese Shallow Parsing Based on HMSVM Model |
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| WANG Zhong-hua,LU Jiao-li,FU Ji-zong. Chinese Shallow Parsing Based on HMSVM Model[J]. Computer Development & Applications, 2013, 0(2): 30-32 |
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| Authors: | WANG Zhong-hua LU Jiao-li FU Ji-zong |
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| Affiliation: | 1.Taiyuan Normal University,Taiyuan 030012,2.Modern Education Technology Center Shanxi University,Taiyyuan 030006 China,3.North Automatic Control Technology Institute,Taiyuan 030006,China) |
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| Abstract: | Hidden Markov Support Vector Machines is a novel structural SVMs model.Its efficiency has been proved in label sequence learning task such as English text chunking.In this paper,we treat Chinese chunk recognition as a label sequence learning problem.After giving the definition of Chinese shallow parsing,we apply HMSVM to solve Chinese shallow parsing problem.The results of experiment show that it achieves a better precision and recall. |
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| Keywords: | chinese chunk HMSVM label sequence learning boundary recognition |
| 本文献已被 CNKI 等数据库收录！ |
