HowNet

基本解释

HowNet is an electronic world knowledge system, which serves as a powerful tool for meaning computation in HLT.
知网是一个人类语言信息处理所必需的世界知识系统，是应用于文本的意义或内容计算的强大工具。
In this paper, we present a new method on feature extraction which uses HowNet as semantic resource, and use Maximum Entropy Model to realize it.
本文提出了一种使用知网作为语义资源选取分类特征，并使用最大熵模型进行分类的新方法。
First of all, the spatial expressions are recognized based on Hownet and the linguistic knowledge after the text is parsed.
在此提出基于有限知识的方位参考点恢复方法。
In combination with HowNet，extended metadata semantic relevance algorithm for predicting the relativity between URL and top ic was applied.
该算法从语义的角度出发，结合“知网”，通过对扩展元数据进行主题相关性判定来选择、预测与主题相关的URL。
HowNet unveils inter-concept relations and inter-attribute relations of the concepts as connoting in lexicons of the Chinese and their English equivalents.
知网揭示概念与概念之间的关系以及概念的属性与属性之间的关系。目前知网涵盖的概念是由中文和英文两种语言所代表的。