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面向网络文本的中文产品命名实体识别 被引量：4

Web Oriented Chinese Product Named Entity Recognition
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摘要 分析电子数码领域的产品命名实体识别的难点和特点,提出了一种基于知识库的最大熵模型的产品命名实体识别方法,实现了从中文网络文本中抽取产品命名实体.实验表明,该系统在电子数码领域中能较好地识别出产品命名实体,对产品命名实体的F1值识别性能达到86.91%. The product named entity in the field of electronic digital is defined. The difficulties and characteristics are analyzed, and then a maximum entropy model based on knowledge base for product named entity recognition on Chinese textual documents is proposed. The experimental results show that the approach can recognize the product named entity in the electronic digital field and achieve the F-measures of 86.91% for the product named entity recognition.
作者 梅丰 孙承杰 孙珂 程明波 林磊
机构地区 哈尔滨工业大学计算机科学与技术学院
出处 《郑州大学学报（理学版）》 CAS 北大核心 2010年第1期62-66,共5页 Journal of Zhengzhou University:Natural Science Edition
基金 国家自然科学基金资助项目 编号60673019 60673037 国家863计划项目 编号2002AA117010209
关键词 产品命名实体识别 最大熵模型 产品知识库构建 product named entity recognition maximum entropy model product knowledge base construction
分类号 TP183 [自动化与计算机技术—控制理论与控制工程]
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参考文献13

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二级参考文献22

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共引文献64

同被引文献27

引证文献4

二级引证文献17

郑州大学学报（理学版）
2010年 第1期

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