Volume 12, Issue 2 (9-2015)                   JSDP 2015, 12(2): 87-96 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Extractive summarization based on cognitive aspects of human mind for narrative text. JSDP 2015; 12 (2) :87-96
URL: http://jsdp.rcisp.ac.ir/article-1-203-en.html
Abstract:   (6244 Views)
This study explains a summarization system based on a cognitive model theory. This theory is about comprehension and is used to explain comprehending narrative texts. Majority of previous methods have been used statistical approaches for summarization, and this method is different as it tries to build a system based on a cognitive theory and not statistical methods. Main principle of situational model is that as humans read a text, they will make a mental image based on temporality, causality, intentionality, protagonists, and place. Proposed system extracts five features for each sentence and identifies the most important sentences based on five features. The results obtained from this method were satisfactory.
Full-Text [PDF 1660 kb]   (1851 Downloads)    
Type of Study: Research | Subject: Paper
Received: 2014/01/11 | Accepted: 2015/04/21 | Published: 2015/09/30 | ePublished: 2015/09/30

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2015 All Rights Reserved | Signal and Data Processing