Title | ||
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Multi document summarization based on news components using fuzzy cross-document relations. |
Abstract | ||
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•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 |
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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 Kumar | 1 | 52 | 6.11 |
Naomie Salim | 2 | 424 | 48.23 |
Albaraa Abuobieda | 3 | 56 | 4.81 |
Ameer Tawfik Albaham | 4 | 27 | 3.36 |