By Topic

A two layered case based reasoning approach to text summarization, based on summarization pattern

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Reyhani, N. ; Info Soc. Dept., Iran Telecom Res. Center, Tehran, Iran ; Badie, K. ; Kharrat, M.

What actually is done in case of text summarization in case based reasoning terminology is that, the situation is defined as the ensemble of some consecutive sentences, and the solution is the set of the sentences selected as the outcome of the summarization process. In order to make a quality summary considering the context, a semantic understanding, seems to be important. In this respect we propose an approach to use a two layered CBR approach. Regarding this, we proposed an approach to text summarization based on two layered case based reasoning framework. Regarding this, the primary CBR cycle tries to make a summary of the source text, and the secondary CBR cycle tries to detect the context, and changes the bias values (fixed values) related to the primary CBR modules.

Published in:

Systems and Information Engineering Design Symposium, 2003 IEEE

Date of Conference:

24-25 April 2003