| 基于SVM的句子组块识别 |
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| 引用本文： | 林煜明,李优.基于SVM的句子组块识别[J].山东大学学报(理学版),2006,41(3):112-115. |
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| 作者姓名： | 林煜明 李优 |
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| 作者单位： | 1. 桂林电子科技大学,计算机系,广西,桂林,541004
2. 桂林电子科技大学,电子工程系,广西,桂林,541004 |
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| 摘 要： | 阐述了基于统计的SVM（支持向量机）模型的汉语句子组块识别. SVM模型使用已进行组块标注的语料，通过多种特征参数选择和多分类划分，对数据进行统计学习得到训练模型后实现. 给出模型的算法和识别结果，分析了统计模型的特点.
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| 关 键 词： | 组块识别 组块特征 支持向量机 |
| 文章编号： | 1671-9352（2006）03-0033-04 |
| 收稿时间： | 2006-04-01 |
| 修稿时间： | 2006-04-01 |
Chunk parsing for sentences based on SVM |
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| LIN Yu-ming,LI You.Chunk parsing for sentences based on SVM[J].Journal of Shandong University,2006,41(3):112-115. |
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| Authors: | LIN Yu-ming LI You |
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| Affiliation: | 1. Dept. of Computer, GuiLin Univ. of Elctronic Technology, Guilin 541004, Guangxi, China; 2. Dept. of Electronic Engineering, GuiLin Univ. of Elctronic Technology, Guilin 541004, Guangxi, China |
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| Abstract: | The system uses a statistical based model based on SVM(Support Vector Machine) to recognize chunks from Chinese sentences.
The SVM models use files which have been marked chunks by hand. Through selecting chunks' characteristic parameter and multi class SVM models, the system finishes chunking. The algorithm and the results are given, and the model's characteristic is analyzed. |
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| Keywords: | chunk parsing chunks' characteristic Support Vector Machine |
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