1) semi-structured document
![点击朗读](/dictall/images/read.gif)
半结构化文档
1.
Large scales of electronic information and knowledge, which are available from the Internet, are hidden in semi-structured documents.
在目前的互联网中,大量电子信息资源以半结构化文档的形式存在,对半结构化文档中的内容信息实现有效的抽取并加以利用,具有良好的应用前景和研究价值。
2) (semi-) structured documents
![点击朗读](/dictall/images/read.gif)
结构(半结构)化文档
3) structured document
![点击朗读](/dictall/images/read.gif)
结构化文档
1.
The main task of a question-answer system is to locate the most matching answer from the underlying structured document collection.
结构化文档由标题、章节、段落等逻辑结构组成。
2.
This paper adopts the method based on co-occurrence analysis to learn the term relationships,applies these relationships to the structured document retrieval,and presents a structured document retrieval model based on Bayesian network,gives the topology,probability estimation and the inference process of this model.
采用共现分析的方法从文档集合中学习得到术语之间的关系,并应用到结构化文档检索中,提出了一个基于贝叶斯网络的结构化文档检索模型,给出了其拓扑结构、概率估计以及推理过程。
3.
As multi-layered Bayesian network for structured documents retrieval is proposed,in which term similarity relationships captured by the means of synonyms from collections are used.
从文档集合中挖掘术语间的同义词关系,引入术语相似度对其进行量化,综合运用文档的文本信息和结构信息,提出一个基于同义词扩展的多层贝叶斯网络检索模型,用于实现结构化文档检索任务。
4) structured document retrieval
![点击朗读](/dictall/images/read.gif)
结构化文档检索
1.
This paper adopts the method based on co-occurrence analysis to learn the term relationships,applies these relationships to the structured document retrieval,and presents a structured document retrieval model based on Bayesian network,gives the topology,probability estimation and the inference process of this model.
采用共现分析的方法从文档集合中学习得到术语之间的关系,并应用到结构化文档检索中,提出了一个基于贝叶斯网络的结构化文档检索模型,给出了其拓扑结构、概率估计以及推理过程。
6) Structure Handwritten Document
![点击朗读](/dictall/images/read.gif)
结构化手写文档
补充资料:一文半文
1.指极少的钱。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条