本文实现了命名实体识别和实体关系提取。
Web information extraction includes named entity recognition and entity relationship extraction.
命名实体识别；
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.
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.
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.
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。
Aiming at this problem, this paper presents a statistics-based Named Entity discovery method.
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.
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.
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.
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。
In this paper, we describe a system that applies maximum entropy (me) models to the task of named entity recognition (NER).
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。
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.
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
The former includes Chinese word segmentation, part - of - speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc.
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
The former includes Chinese word segmentation, part-of-speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc .
实验结果表明，与单纯基于统计和单纯基于规则的命名实体识别方法相比，本文所采用的统计和规则相结合的方法具有更加理想的识别精度；
The result of the experiments shows that the effort of the strategy based on rules and statistics is better than use only one of them.
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。
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.
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.
实验表明，该方法能有效降低内存的消耗量和识别时间，提高识别精度，基本满足空间命名实体在线识别和位置信息服务的要求。
The experiment shows this algorithm can reduce computer memory consumption and system response time, and the recognition precision is also improved. It can meet the requirement of on-line$…
实验表明，该方法能有效降低内存的消耗量和识别时间，提高识别精度，基本满足空间命名实体在线识别和位置信息服务的要求。
The experiment shows this algorithm can reduce computer memory consumption and system response time, and the recognition precision is also improved. It can meet...
实验表明，该方法能有效降低内存的消耗量和识别时间，提高识别精度，基本满足空间命名实体在线识别和位置信息服务的要求。
The experiment shows this algorithm can reduce computer memory consumption and system response time, and the recognition precision is also improved. It can meet...
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