First we put forward the general idea about this method and give a brief introduce to its semantic knowledge resource the Hownet Dictionary.
本文首先提出了这种方法的总体思路，并对其语义知识资源—《知网》作了简要的介绍。
Therefore, this article on the basis of first in HowNet, improve the method of word sentiment, then according to linguistic knowledge of the various factors that defines the sentiment quantitative.
因此，本文首先在知网的基础上，对词汇语义倾向计算方法予以改进，并且根据语言学知识扩展了影响情感的各种因素。
This paper presents an extending inside-outside algorithm by combining the knowledge of HowNet. And then the extending algorithm is used for Chinese semantic analysis.
提出结合知网的知识对内部-外部算法予以扩展，并利用扩展的内部-外部算法实现汉语的语义依存分析。
Text inference is central to natural language applications. This paper presents an inference method based on HowNet, which organizes knowledge with semantic net and infers with marker passing.
文本推理在自然语言处理的应用中占有极为重要的位置，本文介绍了基于知网的一种推理方法，该方法以语义网络的形式表示知网中的知识，利用“标记传递”实现推理。
The Domain HowNet is used to assist Domain Ontology to express the domain knowledge.
领域知网是某领域内的知识库。
Word graphs, phrase graphs are concluded in Knowledge Graph, Word graphs are automatic generate according to Hownet, phrase graphs are combined by Word graphs.
在本文中，知识图中的词图是根据知网中的语义词典自动生成的，短语图是在短语分析过程中由词图合并得来的。
Word graphs, phrase graphs are concluded in Knowledge Graph, Word graphs are automatic generate according to Hownet, phrase graphs are combined by Word graphs.
在本文中，知识图中的词图是根据知网中的语义词典自动生成的，短语图是在短语分析过程中由词图合并得来的。
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