Modelling knowledge summarization by evolving fuzzy grammar
Summarized text is a simplified and condensed version of the original text containing highlighted information to help the audience get the gist in a short period of time. Typically, text summarization produces abstract or a paragraph-like outputs by omitting details and irrelevant information. Howev...
Saved in:
Main Authors: | Mohd Sharef, Nurfadhlina, Abdul Halin, Alfian, Mustapha, Norwati |
---|---|
Format: | Article |
Language: | English |
Published: |
Science Publications
2013
|
Online Access: | http://psasir.upm.edu.my/id/eprint/30611/1/ajassp.2013.606.614.pdf http://psasir.upm.edu.my/id/eprint/30611/ http://thescipub.com/abstract/10.3844/ajassp.2013.606.614 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Case studies with evolving fuzzy grammars
by: Martin, Trevor, et al.
Published: (2011) -
Evolving fuzzy grammar for crime texts categorization
by: Mohd Sharef, Nurfadhlina, et al.
Published: (2015) -
Text fragment extraction using incremental evolving fuzzy grammar fragments learner
by: Mohd Sharef, Nurfadhlina, et al.
Published: (2010) -
A comparative study of evolving fuzzy grammar and machine learning techniques for text categorization
by: Mohd Sharef, Nurfadhlina, et al.
Published: (2015) -
Location recognition with fuzzy grammar
by: Mohd Sharef, Nurfadhlina
Published: (2012)