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- 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。
- named entity translation 命名实体翻译
- Replace the double quotes with the corresponding named entity, ". 用相应的命名实体"替换双引号。
- Language Independent Named Entity Recognition Combining Morphological and Contextual Evidence? 一种独立于语言的命名实体识别方法。
- We first construct a named entity thesaurus based on the information on the web. 在此基础上 ,我们首先通过网络资源建立了实体名词典知识库 ;
- Named entity are recognized with reliability on roles sequence tagged using Viterbi algorithm in roles HMM. 命名实体识别引入了角色HMM：Viterbi算法标注出全局最优的角色序列，然后在角色序列的基础上，识别出命名实体，并计算出真实的可信度。
- Named Entity Recognition (NER), as the important foundation of Text Processing, has become a key technology of Natural Language Processing (NLP). 命名实体识别是文本信息处理的重要基础,已经逐步成为自然语言处理的一项关键技术。
- Functions encapsulate frequently performed logic in a named entity that can be called by Transact-SQL statements instead of recoding the logic in each statement. 函数将经常执行的逻辑封装在命名实体中,Transact-SQL语句可以调用这些函数,而不用在每个语句中对这些逻辑重新进行编码。
- This paper presents a Chinese named entity recognition system that integrates the Hidden Markov Model (HMM) and rules which are automatic extracted from the training corpus. 本文实现的中文命名实体识别系统采用了隐马尔可夫模型(Hidden Markov Model,HMM)与自动规则提取相结合的方法。
- They are named entity (person name, location name and organization name) tagging rules, factoid (date, time, percentage, etc.) tagging rules and disambiguation rules. 因为一方面命名实体和表义字串已被不少分词语料库视为分词单位，另一方面在以往的分词规范中几乎从不谈及歧义消解问题。
- CRF++ is designed for generic purpose and will be applied to a variety of NLP tasks, such as Named Entity Recognition, Information Extraction and Text Chunking. 详细说明： 条件随机场用于NLP中命名实体，组块分析。-CRF++ is a simple; customizable; and implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data.
- The result of experiment indicates that the name entity recognize based on maximum entropy in the condition of relatively little corpus can achieve good performance. 实验结果表明,在训练语料集相对较小的情况下,基于最大熵模型的命名实体识别能够获得较为满意的性能。
- This dissertation mainly researchs means of the name entity recognize via designing and implementing a system which consider name,placename and organization as core. 本文主要研究以人名、地名和组织机构名的识别为核心内容的命名实体识别,并对实体的识别方法进行了设计实现。
- product named entity recognition 产品命名实体识别
- named entity relation extraction 命名实体关系抽取
- traditional Chinese medicine named entity 中医命名实体
- biological named entity recognition 生物命名实体识别
- Chinese named entity recognition 中文命名实体识别
- The strait was named after its discoverer. 这个海峡是以它的发现者命名的。
- Spatial named entity recognition 空间命名实体识别
