中文命名实体抽取的研究，存在分词、领域和方法三个方面的问题需要解决。
After summarizing and analyzing the state of the art on Chinese name entity extraction, we emphasize that three fundamental problems including word segmentation, domain, and method should be solved.
文章介绍了一个中文命名实体识别系统，该系统采用了统计与规则相结合的方法。
This paper presents a Chinese named entity recognition system that combines the statistics-based and rules-based method.
在本文中，我们提出了一种统一的统计语言模型方法用来汉语自动分词和中文命名实体识别，这种方法对基于词的三元语言模型进行了很好的扩展。
In this paper, we extend a word-based trigram modeling to Chinese word segmentation and Chinese named entity recognition, by proposing a unified approach to SLM.
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