A multi-level text representation model within background knowledge based on human cognitive process

Jun Zhang, Qing Li, Xiangfeng Luo, Xiao Wei

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Text representation is one of the most fundamental works in text comprehension, processing, and search. Various works have 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 the background knowledge, which is very important to text understanding, is not taken into consideration. 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 (MSC), machine text base (MTB) and machine situational model (MSM). All of the three are able to be automatically constructed to acquire semantics both inside and outside of the text. Simultaneously, we also propose a method to automatically establish background knowledge and offer supports for the current text comprehension. Finally, experiments and comparisons have been presented to show the better performance of TRMBK.

Original languageEnglish
Title of host publicationProceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013
Pages324-331
Number of pages8
DOIs
Publication statusPublished - 9 Dec 2013
Externally publishedYes
Event12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013 - New York, NY, United States
Duration: 16 Jul 201318 Jul 2013

Publication series

NameProceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013

Conference

Conference12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013
CountryUnited States
CityNew York, NY
Period16/07/1318/07/13

Keywords

  • Background knowledge
  • Human cognitive process
  • Semantics
  • Situational model
  • Surface code
  • Text base
  • Text comprehension
  • Text representation

ASJC Scopus subject areas

  • Information Systems
  • Software

Cite this