命名实体识别；
List-based and rules-based named entity recognition.
基于列表和基于规则的指定实体识别。
Named Entity Recognition (NER) : recognize and extract named entities.
指定实体识别(Named Entity Recognition,NER)：识别和提取指定的实体。
One approach to Named Entity Recognition is list-based extraction of entities.
指定实体识别的一种方法是基于列表提取实体。
Musical Entity Recognition is a vertical component of Named Entity Recognition.
音乐实体识别是命名实体识别的一个垂直组成部分。
Web information extraction includes named entity recognition and entity relationship extraction.
本文实现了命名实体识别和实体关系提取。
Named entity recognition is the first key stage of text mining in the exploding biomedical literature.
命名实体识别是生物医学文献文本挖掘重要的第一步。
This paper presents a Chinese named entity recognition system that combines the statistics-based and rules-based method.
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。
In this paper, we describe a system that applies maximum entropy (me) models to the task of named entity recognition (NER).
在本文中，我们描述了一个系统，适用于最大熵(ME)模型的命名实体识别(ner)的任务。
This paper presents a method for named entity recognition in the tourism domain based on the cascaded conditional random fields.
针对旅游领域，提出了一种基于层叠条件随机场模型的旅游领域命名实体识别方法。
Figure 1 shows an analysis engine containing annotators for named entity recognition, grammatical parsing, and relationship detection.
图1显示一个包含用于已命名实体识别、语法分析和关系探测的注释器的分析引擎。
In named entity recognition this paper mainly researched the Chinese name recognition and identification of Chinese organization names.
在命名实体识别方面本文重点研究了中文人名的识别和机构名的识别。
Named entity recognition technique has received more and more attentions recently along with the great development of information processing technology.
随着信息处理技术的飞速发展，命名实体识别技术越来越多的受到人们的关注。
In this dissertation, it will focus on time expression recognition, which is one of the most important directions within named entity recognition research area.
本文所研究的时间表达式识别，就是命名实体识别领域一项基础而重要的任务。
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.
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。
The result of experiment on corpus containing 2000 human names shows that features fusion can improve the precision and recall of named entity recognition effectively.
通过在包含2000个人名的语料库上的测试，表明特征融合能有效地提高名实体识别的精度和召回率。
The experimental result shows that the tracking performance will be improved by selecting proper features, using word segmentation system and using named entity recognition system.
实验结果显示选取适当的特征数目、使用好的分词技术、使用命名实体识别技术都能改进中文话题追踪系统的性能。
The former includes Chinese word segmentation, part-of-speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc .
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
The former includes Chinese word segmentation, part - of - speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc.
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
Along the way, we'll apply techniques from the last two chapters to the problems of chunking and named-entity recognition.
沿着这种方式，我们将应用最后两章中的技术来解决分块和命名实体识别。
Along the way, we'll apply techniques from the last two chapters to the problems of chunking and named-entity recognition.
沿着这种方式，我们将应用最后两章中的技术来解决分块和命名实体识别。
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