Automatic Recognition of Chinese Personal Name Using Conditional Random Fields and Knowledge Base

Gu Chuan; Tian Xi-ping; Yu Jiang-de

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Automatic Recognition of Chinese Personal Name Using Conditional Random Fields and Knowledge Base

机译：使用条件随机字段和知识库自动识别中文人名

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摘要

According to the features of Chinese personal name, we present an approach for Chinese personal name recognition based on conditional random fields (CRF) and knowledge base in this paper. The method builds multiple features of CRF model by adopting Chinese character as processing unit, selects useful features based on selection algorithm of knowledge base and incremental feature template, and finally implements the automatic recognition of Chinese personal name from Chinese document. The experimental results on open real corpus demonstrated the effectiveness of our method and obtained high accuracy rate and high recall rate of recognition.

机译：根据中文人名的特点，提出了一种基于条件随机域（CRF）和知识库的中文人名识别方法。该方法以汉字为处理单元，建立了CRF模型的多个特征，并根据知识库的选择算法和增量特征模板选择有用的特征，最后实现了中文文档中中文姓名的自动识别。开放真实语料库的实验结果证明了该方法的有效性，并获得了较高的准确率和较高的识别召回率。

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《Mathematical Problems in Engineering》 |2015年第19期|480879.1-480879.6|共6页
作者
Gu Chuan; Tian Xi-ping; Yu Jiang-de;
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Anyang Normal Univ, Sch Software Engn, Anyang 455000, Henan, Peoples R China;

Anyang Normal Univ, Sch Software Engn, Anyang 455000, Henan, Peoples R China;

Anyang Normal Univ, Sch Comp & Informat Engn, Anyang 455000, Henan, Peoples R China;

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Automatic Recognition of Chinese Personal Name Using Conditional Random Fields and Knowledge Base

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