命名实体—清单2和清单7。
命名实体在整个文档被读取后进行解析。
Named entities are parsed after the entire document is read.
在声明命名实体时，指定实体的名称及其替代文本。
When declaring a named entity, you specify the entity's name, and its replacement text.
我将在在文档中定义实体小节中介绍如何声明命名实体。
I'll discuss how to declare named entities in the Defining entities in your documents section.
音乐实体识别是命名实体识别的一个垂直组成部分。
Musical Entity Recognition is a vertical component of Named Entity Recognition.
命名实体识别是生物医学文献文本挖掘重要的第一步。
Named entity recognition is the first key stage of text mining in the exploding biomedical literature.
它们使用百分号（%）而不是与字符，可以是命名实体或外部实体。
They use the percent (%) symbol instead of the ampersand, and can be either named entities or external entities.
与命名实体一样，参数实体在整个文档被读取之后才被扩展。
Like named entities, they're not expanded until the entire document has been read.
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。
The experiment demonstrates that SRV is successful and effective for the named entity relation extraction.
命名实体的作用类似于宏，允许您使用实体引用替代重复或难以输入的文本。
Named entities can act like macros, letting you replace repetitive or difficult text with entity references.
替代文本可以包含字符实体、命名实体和元素等，但不包含参数实体。
The replacement text can include character entities, named entities, elements, etc. but not parameter entities.
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。
By doing these, the performance of named entity relation extraction was enhanced greatly.
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。
In named entity recognition this paper mainly researched the Chinese name recognition and identification of Chinese organization names.
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。
Figure 1 shows an analysis engine containing annotators for named entity recognition, grammatical parsing, and relationship detection.
这个功能还可以用来探测和搜索命名实体的可枚举集，比如产品、国家或公司名称。
The functionality can also be used to detect and later search for enumerable sets of named entities, such as product, country, or company names.
命名实体、术语的翻译对自然语言处理，机器翻译性能的影响越来越重要。
The translation of named entities and terms plays a critical role in many NLP applications such as machine translation.
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.
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.
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 dissertation, it will focus on time expression recognition, which is one of the most important directions within named entity recognition research area.
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。
Named entity recognition technique has received more and more attentions recently along with the great development of information processing technology.
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.
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 method for named entity recognition in the tourism domain based on the cascaded conditional random fields.
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.
因为交换器是命名实体，所以声明一个已经存在的交换器，但是试图赋予不同类型是会导致错误。
Since exchange are named entities the attempt to declare a previously existing exchange with a different type results in an error.
命名实体(在XML规范中也称为内部实体)就是我们在谈论“实体”时所指的实体。
Named entities, also known as internal entities in the XML specifications, are what you usually refer to when you talk about "entities."
它们与命名实体形成更鲜明的对照，命名实体是真实的事物，是主体概念类在真实世界中的实例。
We further contrast these with named entities, which are the real things or instances in the world that are members of these subject concept classes.
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。
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。
Only a small amount of data relates to credit default swaps that reference our target company (Agrium Inc.) as the named entity.
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