One part of the entity extraction function is based on lists of words that should be redacted.
实体提取功能其中一部分基于要屏蔽的单词列表。
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。
The experimental results show that the proposed approach can improve performance of entity extraction.
实验结果表明，最大熵方法提取汉语实体具有较好的性能。
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。
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。
To define the targets for entity extraction, a sophisticated SQL-like language is available, along with development tools.
要定义实体提取的目标，可以使用成熟的类似SQL的语言，以及开发工具。
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。
Nowadays information extraction plays important role in information processing, and entity extraction is the essential research area in information extraction.
在信息处理中信息提取具有越来越重要的作用，其中实体提取是一个重要研究方向。
You then select the candidate words that you want to redact from the content by using the advanced entity extraction capabilities of the SystemT project from IBM Research.
然后您可以通过使用IBM Research的SystemT项目的高级实体提取功能来选择想要在内容中屏蔽的候选词。
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。
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.
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。
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。
Identifying entity relation of sentence is important technology of information extraction.
识别句子中实体关系是信息抽取的重要技术。
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。
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。
Research the characteristics of the STEP-NC program structure, and propose a method of information extraction based on schema and entity. In the last, test and verify the method by an example.
分析了STEP - NC程序构造特点，提出基于形式和实体白勺信息提取方法，并通过实例停止验证。
It is an integrated technical processing system which is supported by the technique of word segment, lexical analysis, retrieval, entity recognition and answer extraction.
它是综合的技术处理系统，其设计与开发需要分词、词法分析、检索、实体识别、答案抽取等几个方面的技术支撑。
Owing to the important of edges in the network modeling, we mainly research the entity relation extraction.
由于网络构建中边的重要性，本文主要对实体关系抽取进行研究。
The entity identification process frame for carrying out the data filtering function of data ETL (data extraction, transformation and loading) is brought forward.
分析了常见实体识别算法，提出了实体识别过程框架，用以实现数据ETL的数据规约功能。
Entity Relation Extraction is an important research field in Information Extraction.
实体关系抽取是信息抽取领域中的重要研究课题。
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 paper, we present a system to acquire enterprise competitive intelligence, which is based on the entity relationship extraction and fusion of Web pages.
本文提出了一个基于网页实体关系抽取与融合的企业竞争情报获取系统框架。
In this paper, we present a system to acquire enterprise competitive intelligence, which is based on the entity relationship extraction and fusion of Web pages.
本文提出了一个基于网页实体关系抽取与融合的企业竞争情报获取系统框架。
应用推荐