| 基于最大熵模型的中文名词短语识别 |
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| 引用本文： | 张惠春. 基于最大熵模型的中文名词短语识别[J]. 数字社区&智能家居, 2009, 0(8) |
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| 作者姓名： | 张惠春 |
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| 作者单位： | 晋城职业技术学院; |
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| 摘 要： | 中文名词短语识别在自然语言处理已经得到了广泛应用。该文首先对名词短语识别问题进行描述,然后利用最大熵模型建立名词短语识别系统,通过实验选取最大熵模型的特征,最后利用选取的特征进行名词短语识别,实验结果表明系统达到了较高的准确率和召回率。
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| 关 键 词： | 最大熵模型 名词短语 特征选择 |
Chinese NP Recognition Based on a Maximum Entropy Model |
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| ZHANG Hui-chun. Chinese NP Recognition Based on a Maximum Entropy Model[J]. Digital Community & Smart Home, 2009, 0(8) |
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| Authors: | ZHANG Hui-chun |
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| Affiliation: | JinCheng institute of Technology;JinCheng 048000;China |
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| Abstract: | Chinese NP Recognition had wide.This paper firstly described the chinese NP recognition,constructed a system for chinese NP recognition using the maximum entropy model.It selected a feature by testing the system.Finally It recognized the Chinese NP uesed the feature which was selected.The experimental result proved that the system reach high precision and recall. |
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| Keywords: | Maximum entropy Chinese NP Feature selection |
| 本文献已被 CNKI 等数据库收录！ |
