| SVM与错误驱动学习相结合的中文人名识别 |
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| 引用本文： | 赵伟,李丹. SVM与错误驱动学习相结合的中文人名识别[J]. 吉林工学院学报, 2009, 30(4): 396-400 |
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| 作者姓名： | 赵伟 李丹 |
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| 作者单位： | 长春工业大学,计算机科学与工程学院,吉林,长春,130012 |
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| 基金项目： | 国家自然科学基金资助项目，教育部博士点基金资助项目，吉林省科技发展计划基金资助项目 |
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| 摘 要： | 利用基于转换的错误驱动学习方法对SVM的识别结果进行校正,转换规则较好地处理了语言现象中的特殊情况,进一步提高了SVM的识别结果。实验结果表明,该方法的中文人名识别的准确率、召回率和F值均得到了提高。
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| 关 键 词： | 中文姓名识别 支持向量机 基于转换的错误驱动学习 |
Chinese name identification based on both Support Vector Mmachines and error-driven learning |
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| ZHAO Wei,LI Dan. Chinese name identification based on both Support Vector Mmachines and error-driven learning[J]. Journal of Jilin Institute of Technology, 2009, 30(4): 396-400 |
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| Authors: | ZHAO Wei LI Dan |
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| Affiliation: | School of Computer Science & Engineering;Changchun University of Technology;Changchun 130012;China |
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| Abstract: | Chinese name identification based on Support Vector Machines(SVM) and is corrected by transformation-based error-driven learning.The learning approach can deal with the special cases in the identification and improve the identification results from SVM.Experiments show that the combined method is more effective in Chinese name identification with high precision,recall rate and F value. |
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| Keywords: | Chinese name recognition Support Vector Machines（SVM） transformation-based error-driven learning |
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