Knowledge Commons of Institute of Automation，CAS
| 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
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| 发表期刊 | CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
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| 2016-09-01 | |
| 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 |
| DOI | 10.1007/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 | 多模态人工智能系统全国重点实验室_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 |
| 第一作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | 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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| A multi-level text r（4930KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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