1) pseudo-semantic tree
伪语义树
2) semantic tree
语义树
1.
First, the question answering system calculates semantic similarity by using distance between words in semantic tree and the height of semantic tree, then this system uses semantic similarity between words and the weight of word to calculate semantic similarity between users’ questions and questions in answer database.
首先 ,利用语义树中词语间的距离和语义树的高度来计算词语间的语义相似度 ,然后利用词语间的语义相似度和词语的权重进一步计算用户问题与答案库中问题间的语义相似度 。
2.
On this basis,the knowledge representation base of semantic tree and the depth first semantic traversal algorithm are brought forward,which are inherent in producing profitable cases.
该文分析了痛风临床诊治智能教学系统(IntelligentTutoringSystemfortheInstructionofGoutClinicalDiagnosisandTreatment,以下简称Gout-ITS系统)自动生成病例所需的领域知识及其特点,提出了语义树知识表示法和深度优先语义遍历算法。
3.
In this paper,semantic trees that had accession and deletion were established based on How-Net to implement granularity concept matching.
基于知网的语义结构,构建了具有添加和删除特点的语义树,使概念的匹配粒度实现细化,并给出了概念语义树匹配算法。
3) fault-tolerance semantic tree
容错语义树
4) semantic tree pruning
语义树剪枝
5) feature semantic tree
特征语义树
6) semantic relation tree
语义关联树
1.
This paper Introduces optimization research on personalized web search system in the view of user preference,and provides a new query expansion algorithm based on semantic relation tree and intelligent frame of personalized search system fitted user preference.
文章从用户偏好的角度对个性化搜索进行了优化研究,提出了基于语义关联树的查询扩展算法以及基于该算法的拟合用户偏好的个性化搜索系统架构。
补充资料：树伪
1.作假。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条