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基于HMSVM的基本名词短语识别研究
引用本文:王仲华,卢娇丽.基于HMSVM的基本名词短语识别研究[J].太原师范学院学报(自然科学版),2012(4):133-135.
作者姓名:王仲华  卢娇丽
作者单位:太原师范学院数学系;山西大学现代教育技术学院
摘    要:名词短语在自然语言处理中具有重要的地位.文章首先从语言学角度定义了名词短语,然后为名词短语识别的问题设计了一个序列标注模型,最后将隐马尔科夫支持向量机用于学习该序列标注问题.实验显示取得了满意的准确率和召回率.

关 键 词:基本名词短语  隐马尔科夫  支持向量机  序列标注

The Study of Base NP Recognition Based on HMSVM
Wang Zhonghua Lu Jiaoli.The Study of Base NP Recognition Based on HMSVM[J].Journal of Taiyuan Normal University:Natural Science Edition,2012(4):133-135.
Authors:Wang Zhonghua Lu Jiaoli
Institution:Wang Zhonghua Lu Jiaoli(1.Department of Mathematics Taiyuan Normal University,Taiyuan 030012; 2.Center of Modern Education and Technology,Shanxi University,Taiyuan 030006,China)
Abstract:It is important to recognize the NP in the field of natural language processing. At first, the paper defines Chinese NP from the linguistic standpoint is defined, then a sequence labeling model and the formulation of the learning problem are introduced for Chinese NP problem. At last,HMSVM is introduced to solve the sequence labeling problem. The experiment shows a satisfactory precision and recall.
Keywords:Base NP  HMM  SVM  sequence labeling
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