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基于条件随机场的中文命名实体识别研究 被引量：3

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摘要 条件随机场模型是文本信息抽取的重要方法之一,在命名实体识别方面CRF性能要明显优于隐马尔科夫模型和最大熵模型。本文以基于字一级的条件随机场模型实现了中文命名实体识别,取得了较好的识别效果。
作者 许晓丽 卢志茂 张格森
机构地区 哈尔滨工程大学信息与通信工程学院 哈尔滨学院
出处 《中国新技术新产品》 2009年第2期15-15,共1页 New Technology & New Products of China
关键词 条件随机场 CRF 命名实体识别 隐马尔科夫
分类号 TP391 [自动化与计算机技术—计算机应用技术] TN919.8 [电子电信—通信与信息系统]
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参考文献1

二级参考文献12

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共引文献31

同被引文献39

  • 1刘桃,刘秉权,徐志明,王晓龙.领域术语自动抽取及其在文本分类中的应用[J].电子学报,2007,35(2):328-332. 被引量：31
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引证文献3

二级引证文献9

中国新技术新产品
2009年 第2期

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