中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective

文献类型:期刊论文

作者Bai, Jie1,2; Li, Linjing1; Zeng, Daniel1,3; Li, Qiudan1
刊名IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
出版日期2017-12-01
卷号29期号:12页码:2655-2668
关键词Text Analysis Knowledge Representation Cognitive Simulation Association Rules
DOI10.1109/TKDE.2017.2745565
文献子类Article
英文摘要In this paper, we propose a novel text representation paradigm and a set of follow-up text representation models based on cognitive psychology theories. The intuition of our study is that the knowledge implied in a large collection of documents may improve the understanding of single documents. Based on cognitive psychology theories, we propose a general text enrichment framework, study the key factors to enable activation of implicit information, and develop new text representation methods to enrich text with the implicit information. Our study aims to mimic some aspects of human cognitive procedure in which given stimulant words serve to activate understanding implicit concepts. By incorporating human cognition into text representation, the proposed models advance existing studies by mining implicit information from given text and coordinating with most existing text representation approaches at the same time, which essentially bridges the gap between explicit and implicit information. Experiments on multiple tasks show that the implicit information activated by our proposed models matches human intuition and significantly improves the performance of the text mining tasks as well.
WOS关键词TEXT REPRESENTATION MODEL ; CLASSIFICATION
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000414712700003
资助机构National Key R&D Program of China(2016QY02D0205) ; National Natural Science Foundation of China(71202169 ; Chinese Academy of Sciences(ZDRW-XH-2017-3) ; SKLMCCS ; 71602184 ; 71621002 ; 61671450 ; U1435221)
源URL[http://ir.ia.ac.cn/handle/173211/19855]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心
作者单位1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100049, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
3.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA
推荐引用方式
GB/T 7714
Bai, Jie,Li, Linjing,Zeng, Daniel,et al. Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2017,29(12):2655-2668.
APA Bai, Jie,Li, Linjing,Zeng, Daniel,&Li, Qiudan.(2017).Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,29(12),2655-2668.
MLA Bai, Jie,et al."Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 29.12(2017):2655-2668.

入库方式: OAI收割

来源:自动化研究所

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