Title
Multi document summarization based on news components using fuzzy cross-document relations.
Abstract
•Multi-document summarization based on news component.•Cross document relation identification using Genetic-CBR approach.•Fuzzy reasoning for sentence scoring.•Proposed model performs better compared to mainstream methods.
Year
DOI
Venue
2014
10.1016/j.asoc.2014.03.041
Applied Soft Computing
Keywords
Field
DocType
Multi document summarization,News components,Cross-document structure theory (CST),Case-based reasoning,Genetic algorithm,Fuzzy logic
Graph,Multi-document summarization,Fuzzy reasoning,Information retrieval,Effective method,Computer science,Fuzzy logic,Artificial intelligence,Case-based reasoning,Sentence,Machine learning,Genetic algorithm
Journal
Volume
ISSN
Citations 
21
1568-4946
8
PageRank 
References 
Authors
0.79
23
4
Name
Order
Citations
PageRank
Yogan Jaya Kumar1526.11
Naomie Salim242448.23
Albaraa Abuobieda3564.81
Ameer Tawfik Albaham4273.36