A multi-level text representation model within background knowledge based on human cognitive process for big data analysis
Wei, Xiao1,2; Zhang, Jun3; Zeng, Daniel Dajun1; Li, Qing4
2016-09-01
发表期刊CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
卷号19期号:3页码:1475-1487
文章类型Article
摘要Text representation is part of the most fundamental work in text comprehension, processing, and search. Various kinds of work has been proposed to mine the semantics in texts and then to represent them. However, most of them only focus on how to mine semantics from the text itself, while few of them take the background knowledge into consideration, which is very important to text understanding. In this paper, on the basis of human cognitive process, we propose a multi-level text representation model within background knowledge, called TRMBK. It is composed of three levels, which are machine surface code, machine text base and machine situational model. All of them are able to be constructed automatically to acquire semantics both inside and outside of the texts. Simultaneously, we also propose a method to establish background knowledge automatically and offer supports for the current text comprehension. Finally, experiments and comparisons have been presented to show the better performance of TRMBK.
关键词Text Comprehension Background Knowledge Text Representation Human Cognitive Process Surface Code Text Base Situational Model Semantics
WOS标题词Science & Technology ; Technology
DOI10.1007/s10586-016-0616-3
关键词[WOS]MEMORY ; WEB
收录类别SCI ; SSCi
语种英语
项目资助者Science Foundation of Shanghai(16ZR1435500) ; National Science Foundation of China(61562020)
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号WOS:000382635400032
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12656
专题复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
2.Shanghai Inst Technol, Shanghai, Peoples R China
3.Shanghai Univ, Shanghai, Peoples R China
4.City Univ Hong Kong, Dept Comp Sci, Kowloon Tong, Hong Kong, Peoples R China
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Wei, Xiao,Zhang, Jun,Zeng, Daniel Dajun,et al. A multi-level text representation model within background knowledge based on human cognitive process for big data analysis[J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS,2016,19(3):1475-1487.
APA Wei, Xiao,Zhang, Jun,Zeng, Daniel Dajun,&Li, Qing.(2016).A multi-level text representation model within background knowledge based on human cognitive process for big data analysis.CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS,19(3),1475-1487.
MLA Wei, Xiao,et al."A multi-level text representation model within background knowledge based on human cognitive process for big data analysis".CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 19.3(2016):1475-1487.
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