对基于几何距离的概念相似度计算进行分析和改进，提出了基于本体和知网的问句间相似度计算模型。
Analyzing and improving the concept similarity calculating based on geometrical distance, a sentence similarity calculating model based on ontology and How-net is proposed.
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。
First we put forward the general idea about this method and give a brief introduce to its semantic knowledge resource the Hownet Dictionary.
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.
据此提出利用改进的知网相似度计算的歧义消解策略。
The strategy we presented is the modified similarity computation from the HowNet for structure disambiguation.
我们根据“中文信息结构”的理论，以《知网》和《知网-中文信息结构库》为主要资源，开发了中文语块抽取器。
On the basis of the theory of Chinese message structure, we have developed HowNet-based Chinese Chunk Extractor, using HowNet and HowNet-Chinese Message Structure Database as the main resources.
利用知网较完备的知识体系来构造概念词典和概念层次结构，实现了一种以知网为背景知识的基于概念的中文文本聚类算法。
Using HowNet's complete knowledge system to construct Concept Dictionary and Concept Hierarchy, we realized a kind of Chinese text clustering algorithm based on concept.
以问题的语义信息为分类依据，建立了一个新的问题分类体系，并提出了一种基于《知网》的自动分类方法。
Taking the semantic information of questions as a criterion of question classification, a new classification system is proposed, and then a HowNet based automatic classification approach is presented.
作者也就知网对汉语研究的影响和启迪进行了较多的讨论，关键是如何建立汉语的语义句法。
The authors make a detailed discussion about the impact and enlightenment of how-net on the Chinese language, among which the key issue is how to construct Chinese semantic syntax.
以问题的疑问词、句法结构、疑问意向词、疑问意向词在知网中的首义原作为分类特征。
We choose the interrogative words, syntax structure, question focus words and its first sememes as classification feature.
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。
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.
在此提出一种基于类别核心词的概念映射方法，首先从文本中抽取类别核心词，借助《知网》将特征词映射到基于类别核心词的概念空间，然后在概念空间上完成文本分类工作。
The idea is to extract the core words of class first, then use HowNet to map key words space to concept space based on core words, finally finish the text classification pr.
该方法以问题的疑问词、句法结构、疑问意向词、疑问意向词在知网中的首义原作为分类特征。
We choose the interrogative words , syntax structure , question focus words and their first sememes as classification feature.
借鉴本体和知网思想，构建银行领域本体库和银行知网。
With the elicitation of ontology and Hownet, a bank ontology database and bank Hownet are built up.
该方法通过仔细分析知网中关系标知符、动态角色以及例句所描述的各种语义关系，以概念、特征、关系为基础，构建了一基于知网的关系网络。
By analyzing relations described by pointers, event roles and examples, a so called relation network was constructed based on Hownet's concepts, features and relations.
根据用户的访问历史，利用知网建立基于概念关系的用户兴趣森林模型。
According to the users navigation history and the concept relations living in the HowNet, a user interest forest model based on the relative relations of concepts is constructed.
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。
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.
本文较全面地介绍了知网，它是一个可用于自然语言处理的知识系统的知网，现己在因特网上公开发布。
The paper presents a full account of how-net, viz. a knowledge system for natural language processing. How-net has been recently released in the Internet.
笔者通过查阅中国知网和药学年鉴检索了近三十年的有关文献及专著，分析了《本草纲目》中药物的本草考证研究现状。
By consulting cnki net and annual review pharmacy, the writer had analyzed the present research Chinese crude drug varities in Compendium of Materia Medica.
翻译：随着中国在全球的知识产权拥有者排名中名列前茅，汇桔网引领“知商圈”在进一步推进全社会福祉的过程中发挥了重要的作用。
As China has come to the top of the ranks of IP producers in the world, WTOIP has taken on the important role of leading the IP community in further progress for the benefit of society.
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。
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.
领域知网是某领域内的知识库。
The Domain HowNet is used to assist Domain Ontology to express the domain knowledge.
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