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基于HMSVM的基本名词短语识别研究 被引量：1

The Study of Base NP Recognition Based on HMSVM
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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. 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.
作者 王仲华 卢娇丽
机构地区 太原师范学院数学系 山西大学现代教育技术学院
出处 《太原师范学院学报（自然科学版）》 2012年第4期133-135,共3页 Journal of Taiyuan Normal University:Natural Science Edition
关键词 基本名词短语 隐马尔科夫 支持向量机 序列标注 Base NP HMM SVM sequence labeling
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献7

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二级参考文献18

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共引文献120

同被引文献12

  • 1郭永辉,杨红卫,马芳,王炳锡.基于粗糙集的基本名词短语识别[J].中文信息学报,2006,20(3):14-21. 被引量：2
  • 2游斓.基于转换的基本名词短语识别[C].复旦大学·政学者论文集,2002:236-245.
  • 3梁颖红,赵铁军,翟舒.规则和边界统计相结合的英语基本名词短语识别[C].语言计算与基于内容的文本处理——全国第七届计算语言学联合学术会议论文集,2003.
  • 4Gareev R, Tkachenko M, Solovyev V, et al. Intro- ducing baselines for russian named entity recogni-tionE C . Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2013 : 329 - 342.
  • 5Lafferty J, McCallum A, Pereira F C N. Conditional random fields:probabilistic models for segmenting and labeling sequence data[J]. 2001:139 - 141.
  • 6Xun E, Huang C, Zhou M. A unified statistical model for the identification of English baseNP E CJ. Proceedings of the 38th Annual Meeting on Association for Computational Linguistics. Associ- ation for Computational Linguistics, 2000: 109 - 116.
  • 7. Sang E F. Noun phrase recognition by system com- bination [ C ]. Proceedings of the 1 st North Ameri- can chapter of the Association for Computational Linguistics conference. Association for Computa- tional Linguistics ,2000:50 - 55.
  • 8谭魏璇,孔芳,倪吉,周国栋.基于混合统计模型的中文基本名词短语识别[J].计算机应用与软件,2011,28(8):254-256. 被引量：3
  • 9章忠宪.基于规则的英语名词短语结构自动识别研究[J].吉林工程技术师范学院学报,2013,29(7):70-72. 被引量：1
  • 10钱小飞,侯敏.基于混合策略的汉语最长名词短语识别[J].中文信息学报,2013,27(6):16-22. 被引量：7

引证文献1

太原师范学院学报（自然科学版）
2012年 第4期

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