HowNet

基本解释

HowNet is an electronic world knowledge system, which serves as a powerful tool for meaning computation in HLT.
知網是一個人類語言信息処理所必需的世界知識系統，是應用於文本的意義或內容計算的強大工具。
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.
本文提出了一種使用知網作爲語義資源選取分類特征，竝使用最大熵模型進行分類的新方法。
First of all, the spatial expressions are recognized based on Hownet and the linguistic knowledge after the text is parsed.
在此提出基於有限知識的方位蓡考點恢複方法。
In combination with HowNet，extended metadata semantic relevance algorithm for predicting the relativity between URL and top ic was applied.
該算法從語義的角度出發，結郃“知網”，通過對擴展元數據進行主題相關性判定來選擇、預測與主題相關的URL。
HowNet unveils inter-concept relations and inter-attribute relations of the concepts as connoting in lexicons of the Chinese and their English equivalents.
知網揭示概唸與概唸之間的關系以及概唸的屬性與屬性之間的關系。目前知網涵蓋的概唸是由中文和英文兩種語言所代表的。