基于条件随机场的命名实体识别研究
he research of Chinese Named Entity Recognition based on Conditional Random Fields
命名实体识别是自然语言处理的首要的基本工作，本文提出了一个基于条件随机场（简称CRF）的命名实体识别系统，进行了命名实体识别研究工作。我们将命名实体识别看作是一个标记的过程，利用知识库提取上下文的特征，然后利用CRF模型去标记。通过实验结果可以得到，使用规则和统计结合的方法，可以得到更好的识别结果。
hinese Named Entity Recognition is a basic problem of Chinese natural language process. At first, this paper introduce a Chinese Named Entity Recognition system based on Conditional Random Fields(CRF). CRF is a process to label the text sequence, we used expert knowledge to retrieve the feature of context, then we using CRF model to label this sequence. As the experiment shows, it can achieve a high accurate result.
刘海鹏、王小捷
汉语
命名实体识别条件随机场专家知识
Named Entity Recognitiononditional Random Fieldsexpert knowledge
刘海鹏,王小捷.基于条件随机场的命名实体识别研究[EB/OL].(2009-02-12)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200902-544.点此复制
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