Algorithms for clustering data
Algorithms for clustering data
A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Training a selection function for extraction
Proceedings of the eighth international conference on Information and knowledge management
New Methods in Automatic Extracting
Journal of the ACM (JACM)
Text summarization via hidden Markov models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Identifying topics by position
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Text summarization using a trainable summarizer and latent semantic analysis
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
Integrating cohesion and coherence for automatic summarization
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
Using maximum entropy for sentence extraction
AS '02 Proceedings of the ACL-02 Workshop on Automatic Summarization - Volume 4
Manual and automatic evaluation of summaries
AS '02 Proceedings of the ACL-02 Workshop on Automatic Summarization - Volume 4
Introduction to Fuzzy Logic using MATLAB
Introduction to Fuzzy Logic using MATLAB
Information Processing and Management: an International Journal
A PSO-Based Web Document Classification Algorithm
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
'Show me more': Incremental length summarisation using novelty detection
Information Processing and Management: an International Journal
A performance comparison of PSO and GA in scheduling hybrid flow-shops with multiprocessor tasks
Proceedings of the 2008 ACM symposium on Applied computing
GA, MR, FFNN, PNN and GMM based models for automatic text summarization
Computer Speech and Language
Optimizing Text Summarization Based on Fuzzy Logic
ICIS '08 Proceedings of the Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)
A PSO-ANN Integrated Model of Optimizing Cut-Off Grade and Grade of Crude Ore
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 07
Swarm Based Text Summarization
IACSIT-SC '09 Proceedings of the 2009 International Association of Computer Science and Information Technology - Spring Conference
Automatic text summarization of newswire: lessons learned from the document understanding conference
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
A new hybrid summarizer based on vector space model, statistical physics and linguistics
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
An improved plagiarism detection scheme based on semantic role labeling
Applied Soft Computing
GenDocSum+MCLR: Generic document summarization based on maximum coverage and less redundancy
Expert Systems with Applications: An International Journal
CDDS: Constraint-driven document summarization models
Expert Systems with Applications: An International Journal
Multiple documents summarization based on evolutionary optimization algorithm
Expert Systems with Applications: An International Journal
Opposition differential evolution based method for text summarization
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
Extractive single-document summarization based on genetic operators and guided local search
Expert Systems with Applications: An International Journal
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High quality summary is the target and challenge for any automatic text summarization. In this paper, we introduce a different hybrid model for automatic text summarization problem. We exploit strengths of different techniques in building our model: we use diversity-based method to filter similar sentences and select the most diverse ones, differentiate between the more important and less important features using the swarm-based method and use fuzzy logic to make the risks, uncertainty, ambiguity and imprecise values of the text features weights flexibly tolerated. The diversity-based method focuses to reduce redundancy problems and the other two techniques concentrate on the scoring mechanism of the sentences. We presented the proposed model in two forms. In the first form of the model, diversity measures dominate the behavior of the model. In the second form, the diversity constraint is no longer imposed on the model behavior. That means the diversity-based method works same as fuzzy swarm-based method. The results showed that the proposed model in the second form performs better than the first form, the swarm model, the fuzzy swarm method and the benchmark methods. Over results show that combination of diversity measures, swarm techniques and fuzzy logic can generate good summary containing the most important parts in the document.