Discourse markers are among the basic building blocks of spoken language.This study gauges the use of the discourse marker I mean in spoken English,specifically in the talk show setting,with the aim of providing a com...Discourse markers are among the basic building blocks of spoken language.This study gauges the use of the discourse marker I mean in spoken English,specifically in the talk show setting,with the aim of providing a comprehensive description of the pragmatic functions of I mean.After extracting large quantities of extended conversations from various talk shows,a corpus for fur⁃ther extensive discourse analysis will then be established.Our small-scale yet fine-grained study proposes that the core functions of I mean includes reformulation,elaboration,lexical search and interpersonal management.The wide use of discourse markers in TV talk shows serves to promote the logic and organization of interviewing language as well as the overall discourse setting whereby the talk shows proceed smoothly with the interlocutors’dynamic devotion into conversation.展开更多
The present study examines the pragmatic functions of the discourse marker I mean based on a case study of an American soap opera Desperate Housewives.Four pragmatic functions of I mean are detected and discussed.Amon...The present study examines the pragmatic functions of the discourse marker I mean based on a case study of an American soap opera Desperate Housewives.Four pragmatic functions of I mean are detected and discussed.Among them,two functions are more frequently used including supplementary and explanatory function,reminding and emphasizing function.展开更多
A new method of fault domain identification is proposed based on K-means clustering analysis theories using the wide-area information of power grid. In the method, the node Intelligent Electronic Device (IED) associat...A new method of fault domain identification is proposed based on K-means clustering analysis theories using the wide-area information of power grid. In the method, the node Intelligent Electronic Device (IED) associated domain is defined, and the relationship of positive sequence current fault component for the association domain boundaries is sought, then the conception of positive sequence fault component differential current for node IED association domains is introduced. The information of the positive sequence fault component differential current gathered by node IEDs is selected as the object of K-means clustering. The node IEDs of fault associated domains can be classified into one category, and the node IEDs of non-fault associated domains are classified into another category. With the fault area minimum principle, the group of node IEDs about fault associated domains can be obtained. The overlap of fault associated domains for different nodes is the fault area. A large number of simulations show that the algorithm proposed can identify fault domains with high accuracy and no influence by the operating mode of the system and topological changes.展开更多
针对大众标注网站推荐系统中存在的数据矩阵稀疏性影响推荐效果的问题,文中采取如下策略:对标注数据进行K-means聚类,将具有相似标签特征的项目进行归类以保证数据具有初始聚合性;聚类完成后运用高阶奇异值分解(high order singular val...针对大众标注网站推荐系统中存在的数据矩阵稀疏性影响推荐效果的问题,文中采取如下策略:对标注数据进行K-means聚类,将具有相似标签特征的项目进行归类以保证数据具有初始聚合性;聚类完成后运用高阶奇异值分解(high order singular value decomposition,HOSVD)对聚类后的标注数据建立多维张量模型.该策略重点利用张量分解方法对含有用户、标签和项目的三元数据组进行分析,可以进一步改进稀疏性问题,同时形成对项目资源的个性化推荐.通过对社交书签网站Delicious.com的标注数据的处理,验证该方法对解决推荐系统中矩阵稀疏性问题以及提高推荐效果具有改进效果.展开更多
文摘Discourse markers are among the basic building blocks of spoken language.This study gauges the use of the discourse marker I mean in spoken English,specifically in the talk show setting,with the aim of providing a comprehensive description of the pragmatic functions of I mean.After extracting large quantities of extended conversations from various talk shows,a corpus for fur⁃ther extensive discourse analysis will then be established.Our small-scale yet fine-grained study proposes that the core functions of I mean includes reformulation,elaboration,lexical search and interpersonal management.The wide use of discourse markers in TV talk shows serves to promote the logic and organization of interviewing language as well as the overall discourse setting whereby the talk shows proceed smoothly with the interlocutors’dynamic devotion into conversation.
文摘The present study examines the pragmatic functions of the discourse marker I mean based on a case study of an American soap opera Desperate Housewives.Four pragmatic functions of I mean are detected and discussed.Among them,two functions are more frequently used including supplementary and explanatory function,reminding and emphasizing function.
文摘A new method of fault domain identification is proposed based on K-means clustering analysis theories using the wide-area information of power grid. In the method, the node Intelligent Electronic Device (IED) associated domain is defined, and the relationship of positive sequence current fault component for the association domain boundaries is sought, then the conception of positive sequence fault component differential current for node IED association domains is introduced. The information of the positive sequence fault component differential current gathered by node IEDs is selected as the object of K-means clustering. The node IEDs of fault associated domains can be classified into one category, and the node IEDs of non-fault associated domains are classified into another category. With the fault area minimum principle, the group of node IEDs about fault associated domains can be obtained. The overlap of fault associated domains for different nodes is the fault area. A large number of simulations show that the algorithm proposed can identify fault domains with high accuracy and no influence by the operating mode of the system and topological changes.
文摘针对大众标注网站推荐系统中存在的数据矩阵稀疏性影响推荐效果的问题,文中采取如下策略:对标注数据进行K-means聚类,将具有相似标签特征的项目进行归类以保证数据具有初始聚合性;聚类完成后运用高阶奇异值分解(high order singular value decomposition,HOSVD)对聚类后的标注数据建立多维张量模型.该策略重点利用张量分解方法对含有用户、标签和项目的三元数据组进行分析,可以进一步改进稀疏性问题,同时形成对项目资源的个性化推荐.通过对社交书签网站Delicious.com的标注数据的处理,验证该方法对解决推荐系统中矩阵稀疏性问题以及提高推荐效果具有改进效果.
