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- A parameter entity reference is not allowed in internal markup. 内部标记中不允许使用参数实体引用。
- Defines an entity reference node in a query expression tree. 定义查询表达式树中的实体引用节点。
- Replace the double quotes with the corresponding named entity, ". 用相应的命名实体"替换双引号。
- The reader normalizes each individual text node independently from the content of adjacent entity reference nodes. 读取器独立于相邻实体引用节点的内容之外对每个单独的文本节点进行正常化。
- 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。
- When the nodes are copied, there may be a namespace in scope at the point of the entity reference. 当复制节点时,在实体引用所处的范围内可能存在一个命名空间。
- 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 ;
- Returns the document, element, document type, or entity reference containing the processing instruction. 返回包含该处理指令的文档、元素、文档类型或实体引用。
- Returns the parent element, attribute, or entity reference containing the text node. 返回包含该文本节点的父元素、属性或实体引用。
- 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。
- The entity text is expanded in place of the entity references. 节点。展开实体文本代替实体引用。
- 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。
- If there is no entity declaration that matches, an empty text node is attached as the only child of the entity reference node. 如果没有匹配的实体声明,则附加一个空的文本节点作为实体引用节点的唯一子级。
- 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。
- Use this method after calling MoveToAttribute to read through the text or entity reference nodes that make up the attribute value. 调用MoveToAttribute后,使用此方法读取通过组成属性值的文本或实体引用节点。
- 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。
- Tip: This element may contain literal text, entity references, and #PCDATA. 提示:这个元素可以包含纯文本、实体参数和%23PCDATA。
- 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.