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。
In this article, you use their term and named entity extraction services to perform text analysis.
AlchemyAPI指定实体抽取web服务识别了所有种类的实体。
The AlchemyAPI named entity extraction web service has identified all kinds of things. For example, it knows that.
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.
我们的设想是,抽取实体书的关键特性，然后进一步提升它们。
The idea is to take the key features of a physical book, capture those and then go beyond that.
识别句子中实体关系是信息抽取的重要技术。
Identifying entity relation of sentence is important technology of information 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。
The experiment demonstrates that SRV is successful and effective for the named entity relation extraction.
关系抽取是文本挖掘的一项重要研究内容，它能够反映命名实体之间的关系，有助于发现隐含在大量数据和文本中的知识。
Relation extraction is an important task in text mining, it can reflect the relationship between the named entities and is helpful to find implicit knowledge in the substantial data and text.
这些地图抽取和定义信息模型、种类和作者、概念以及其它信息实体之间的关系。
These maps extract and define information patterns, categories, and relationships among authors, concepts, or other information 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.
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。
It is an integrated technical processing system which is supported by the technique of word segment, lexical analysis, retrieval, entity recognition and answer 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。
Owing to the important of edges in the network modeling, we mainly research the entity relation extraction.
其次，本文采用中文信息抽取技术抽取非结构化数据包含的实体相关信息。
Secondly, in this paper, we will research the Chinese information extraction technology to extract the entities from the unstructured data.
我们的设想是，抽取实体书的关键特性，然后进一步提升它们。
The idea is to take the key features of a physical book, capture those and then go beyond that.
生物实体名识别对生物医学文献的信息抽取有重要的意义。
Identification of biomedical entities is one of important techniques to extract information from biomedical documents.
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.
实体化视图作为数据仓库中存储的主要信息实体，是由对上一级或外部数据源进行抽取、转化、传输和上载的数据构成的。
As the primary information entity stored in the data warehouse, the data of Materialized views is extracted, transformed, transmit-ted, or loaded from last or remote sources.
实体关系抽取是信息抽取领域中的重要研究课题。
Entity Relation Extraction is an important research field in Information Extraction.
在软件应用中若能抽取出规则，可以使软件实体更灵活，规则引擎使得这成为可能。
Rules Engines can improve the agility of business isolating the "logic of the bottom line" from the technical logic of software applications.
我们利用条件随机场模型抽取领域实体对象，并将其应用于比较句识别和比较关系抽取中，取得了良好的实验效果。
We use CRF model to extract domain entities which are applied to identify comparative sentences and mine comparative relation with good results.
同时针对单文档以及稀疏文档集，本文实现了基于事件框架的实体关系抽取，以抽取用户指定的特殊实体关系。
Meanwhile, to analyzing sparse dataset, we implement the relation extract method based on event frame to extract the special relations which users set.
组织机构名等命名实体的识别是信息抽取、机器翻译等任务的重要基础。
The recognition of organization names is one of the fundamental tasks in Information Extraction and Machine Translation.
组织机构名等命名实体的识别是信息抽取、机器翻译等任务的重要基础。
The recognition of organization names is one of the fundamental tasks in Information Extraction and Machine Translation.
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