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1)  Concept-Sememe Tree
概念-义原树
1.
We analyze the feature of these methods and parse the hierarchy relation of concepts in HowNet, on base of it we design a concept-sememe tree structure which can make it clearer to realize the relations between the sememes in concepts.
本文扼要介绍了目前国内外关于词汇语义相似度计算的研究现状,阐述并分析了几种具有代表性的计算方法,并对目前较为流行的基于SUMO、HowNet的词汇语义相似度计算进行了较详细的介绍,对计算方法的特点进行分析,并在对知网概念的层次关系进行解析的基础上设计了一种形成概念-义原树结构的方法,该概念-义原树以树结构形式形象的表明了概念义原间的关系,方便计算机进行计算处理。
2)  concept tree
概念树
1.
Research on Chinese text retrieval based on expansion of concept tree;
基于概念树扩展的中文文本检索研究
2.
The Research on the Focused Crawling Technology Based on the Concept Tree;
基于概念树的主题爬取技术研究
3.
According to the features of EIS and Data Mining, two algorithms namely concept tree algorithm and decision tree algorithm are selected and used in EIS.
并根据EIS和数据挖掘各自的特点,以概念树算法和决策树算法为例,在分析了它们的算法原理的基础上,探讨了通过属性值间概念存在的层次关系实现EIS数据查询的逐级细化;根据信息论原理,以分类学习为基础,通过计算各属性所含信息量大小,得出判断规则,为EIS辅助决策提供支持。
3)  General concept tree
泛概念树
4)  the primitive meaning of the concept of mind
人的概念的原始意义
5)  concept definition
概念定义
1.
Concept definitions serve as the foundation of mathematics, but they do not derive directly from the objective reality and have the multiple characteristics of abstractness, generalization and simplicity, thus, it is difficult for students to recite concept definitions without omitting a single word.
概念定义是数学的基础,但概念定义不是直接来自于客观现实中,且具有抽象性、概括性、简明性等多重性,因此,学生往往难以一字不漏地背诵概念定义。
6)  semantic concept
语义概念
1.
Research into information retrieval based on the combination of keyword and semantic concept;
基于关键词与语义概念结合的信息检索研究
2.
Traditional text categorization methods are difficult to deal with the high dimensionality characteristic of the text documents based on semantic concept of the words.
基于词空间的分类方法很难处理文本的高维特性和捕获文本语义概念。
3.
The extended model realizes semantic concept retrieval and is able to handle the inqu.
新模型合理地考虑了术语关系,实现了基于语义概念的检索。
补充资料:树义
1.立义;阐发义理。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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