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。
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。
A named collection of objects and is a separate entity from other databases.
数据库是命名的对象集合，是与其他数据库分离的实体。
Database a named collection of objects and is a separate entity from other databases in the instance.
数据库数据库是命名的对象集合，是与实例中的其他数据库分离的实体。
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。
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。
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。
The AlchemyAPI named entity extraction web service has identified all kinds of things. For example, it knows that.
AlchemyAPI指定实体抽取web服务识别了所有种类的实体。
In this test, we created a single entity named OgisCustomer, which has four member attributes including the primary key (SRCSEQ).
在该测试中，我们创建了一个名为ogiscustomer的实体，它有包括主键(SRCSEQ)在内的4个成员属性。
The attribute use with a specific entity is depicted as a stereotype property named attributes in the corresponding stereotype for the entity.
与具体实体一起的属性被描述为相应的实体的原型中名为attributes的原型属性。
In this model, we use an entity bean named PBUser which represents a user in the Personal Budget database. PBUser has one-to-one relationship reference with the following entity beans.
在此模型中，我们使用一个名为pbuser的实体Bean来代表PersonalBudget数据库中的一个用户。
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。
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。
The list of named streams is defined at the meta-data level, which means each instance of entity has the same named list.
命名流资源的列表通过元数据来定义，这意味着实体的每个实例都具有相同的命名列表。
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。
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。
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。
With the October 2010 CTP, developers can now add additional named streams to an entity.
而在2010年10月CTP版中，开发人员现在可以给实体添加额外的命名资源了。
For example, an entity class named Department is assumed to map to a database tabled named Department.
例如，假设一个名为Department的实体类，与一个名为Department的数据库表相映射。
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。
List-based and rules-based named entity recognition.
基于列表和基于规则的指定实体识别。
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。
Figure 11 shows the details of an Entity named car.
图11显示了名为car的实体的细节。
Our to-do application only requires a single entity named Task.
我们的to-do应用程序只需要唯一一个实体，名称为Task。
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。
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。
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。
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。
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。
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。
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