Welcome to the InfoSci Platform
Reference Hub10
Measuring Textual Context Based on Cognitive Principles

Measuring Textual Context Based on Cognitive Principles

Ning Fang, Xiangfeng Luo, Weimin Xu
Copyright: © 2009 |Volume: 1 |Issue: 4 |Pages: 29
ISSN: 1942-9045|EISSN: 1942-9037|ISSN: 1942-9045|EISBN13: 9781616921170|EISSN: 1942-9037|DOI: 10.4018/jssci.2009062504
Cite Article Cite Article

MLA

Fang, Ning, et al. "Measuring Textual Context Based on Cognitive Principles." IJSSCI vol.1, no.4 2009: pp.61-89. http://doi.org/10.4018/jssci.2009062504

APA

Fang, N., Luo, X., & Xu, W. (2009). Measuring Textual Context Based on Cognitive Principles. International Journal of Software Science and Computational Intelligence (IJSSCI), 1(4), 61-89. http://doi.org/10.4018/jssci.2009062504

Chicago

Fang, Ning, Xiangfeng Luo, and Weimin Xu. "Measuring Textual Context Based on Cognitive Principles," International Journal of Software Science and Computational Intelligence (IJSSCI) 1, no.4: 61-89. http://doi.org/10.4018/jssci.2009062504

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Based on the principle of cognitive economy, the complexity and the information of textual context are proposed to measure subjective cognitive degree of textual context. Based on minimization of Boolean complexity in human concept learning, the complexity and the difficulty of textual context are defined in order to mimic human’s reading experience. Based on maximal relevance principle, the information and cognitive degree of textual context are defined in order to mimic human’s cognitive sense. Experiments verify that more contexts are added, more easily the text is understood by a machine, which is consistent with the linguistic viewpoint that context can help to understand a text; furthermore, experiments verify that the author-given sentence sequence includes the less complexity and the more information than other sentence combinations, that is to say, author-given sentence sequence is more easily understood by a machine. So the principles of simplicity and maximal relevance actually exist in text writing process, which is consistent with the cognitive science viewpoint. Therefore, this chapter’s measuring methods are validated from the linguistic and cognitive perspectives, and it could provide a theoretical foundation for machine-based text understanding.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.