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。
When declaring a named entity, you specify the entity's name, and its replacement text.
在声明命名实体时，指定实体的名称及其替代文本。
By doing these, the performance of named entity relation extraction was enhanced greatly.
通过以上两种方法，使命名实体之间关系抽取结果的性能大大提高。
In this article, you use their term and named entity extraction services to perform text analysis.
在本文中，您使用他们的术语和指定实体抽取服务来执行文本分析。
Aiming at this problem, this paper presents a statistics-based Named Entity discovery method.
文章针对命名实体识别问题，提出了一种以统计为主发现命名实体的方法。
Digital certificates address this problem by certifying that a public key belongs to a named entity.
通过认证一个公钥属于一个命名的实体，数字证书解决了这个问题。
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。
The experiment demonstrates that SRV is successful and effective for the named entity relation extraction.
实验证明srv算法用于命名实体关系的抽取是成功和有效的。
A step-by-step example demonstrated how to build a a simple named entity extraction task using regular expressions.
本文通过一个详细的示例演示了如何使用正则表达式构建简单的指定实体提取任务。
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。
This paper presents a novel approach to improve the named entity translation by combining transliteration with web mining.
本文提出了一种新颖的方法，综合利用音译和网络挖掘来提高命名实体翻译的效果。
Only a small amount of data relates to credit default swaps that reference our target company (Agrium Inc.) as the named entity.
只有少量的数据与将我们的目标公司 (Agrium Inc.)引用为命名实体的信用违约掉期相关。
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。
Algorithms that scan text for common patterns, such as email addresses, phone Numbers, and people and place names, are useful for named entity extraction.
为总结公共模式(比如，电子邮箱地址、电话号码、人名和地名)而扫描文本的算法对于指定实体抽象非常有用。
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。
Value types directly contain their state, while reference types are an implicit pair: the named entity is a handle to an unnamed object allocated on the managed heap.
值类型直接包含其状态，而引用类型则是隐式对：命名实体是托管堆上分配的未命名对象的句柄。
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。
You can use built-in text analysis functions, namely dictionary based and regular expression based named entity extraction, as explained in the previous articles of this series.
您可以使用内置的文本分析特性，即基于词典和基于正则表达式的命名实体提取，如本系列的前面的文章所述。
You can use built-in text analysis functions, namely dictionary based and regular expression based named entity extraction, as explained in the previous articles of this series.
您可以使用内置的文本分析特性，即基于词典和基于正则表达式的命名实体提取，如本系列的前面的文章所述。
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