semantic distance造句
例句与造句
- Computation on sentence semantic distance for novelty detection
句子语义距离计算与新颖性检测 - Semantic distance effect in p
240的语义距离效应 - In trec2003 , the authors tried an approach to novelty detectionwith semantic distance computation . the motivation is to expand asentence by introducing semantic information
句子间语义距离的计算主要综合了wordnet及其统计信息，从词语synset层面开始，扩展到句子级别的计算。 - A new idea , assemble distance , is presented by the paper with the support of hownet and the framework of semantic distance , based on the research and analyses of the primary semantic repositories
本文通过对现今主流语义知识库的研究和分析,提出了以知网为支撑,以语义距离为骨架的新概念:搭配距离。 - The feature vector , usedin the vector space model for classification , consists of variousfactors , including the semantic distance from the sentence to the topicand the distance from the sentence to the previous relevant contextoccurring before it
我们分类采用的特征向量包含多种因素，其中包括当前句子到话题的语义距离以及当前句子到有效上文句子的距离。 - It's difficult to find semantic distance in a sentence. 用semantic distance造句挺难的
- This article introduces semantic distance to depict the similitude of the corresponding attribute between two similar cases , and adopt the dark priority - ratio to get the sequence of the similitude between the new problem and the old cases
本文引入语义距离来刻画相似实例中两个对应属性之间的相似程度，采用相似优先比来描述新问题与各个旧实例之间的相似度的顺序。 - Then , after the analysis of the semantic hierarchy of rdf ( resource description framework ) resource description , we proposed a kind of rdfms ( resource description framework model and syntax ) data hierarchy clustering method based on semantic distances among data
对于rdf资源描述进行语义层次分析，提出了基于语义距离的rdfms数据层次聚类方法，并给出了具体的算法描述和实例。 - It is proposed to use the semantic distance for estimating the matching degree between a service and a user request . four types of semantic distances are defined and four algorithms are implemented respectively to calculate them . experimental results show that the proposed semantic matchmaker significantly outperforms the keyword - based baseline method
因此，为了比较准确的区分不同服务与用户请求之间的匹配程度，本文首先提出了一个基线服务匹配方法，利用关键字匹配将每个服务与用户请求之间的匹配程度进行量化表示，并按照匹配程度对服务进行排序，便于用户选择最合适的服务。