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
Generic text summarization using relevance measure and latent semantic analysis
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
A formal model for information selection in multi-sentence text extraction
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Semantic text similarity using corpus-based word similarity and string similarity
ACM Transactions on Knowledge Discovery from Data (TKDD)
Differential evolution with dynamic stochastic selection for constrained optimization
Information Sciences: an International Journal
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Automatic generic document summarization based on non-negative matrix factorization
Information Processing and Management: an International Journal
A complex network approach to text summarization
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
GSA: A Gravitational Search Algorithm
Information Sciences: an International Journal
Performance evaluation of density-based clustering methods
Information Sciences: an International Journal
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
A Fuzzy-Rough Hybrid Approach to Multi-document Extractive Summarization
HIS '09 Proceedings of the 2009 Ninth International Conference on Hybrid Intelligent Systems - Volume 01
Text summarization model based on the budgeted median problem
Proceedings of the 18th ACM conference on Information and knowledge management
Multi-document summarization using sentence-based topic models
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm
Information Sciences: an International Journal
Exploiting neighborhood knowledge for single document summarization and keyphrase extraction
ACM Transactions on Information Systems (TOIS)
Expert Systems with Applications: An International Journal
Evaluation of novelty metrics for sentence-level novelty mining
Information Sciences: an International Journal
Information Sciences: an International Journal
A study of global inference algorithms in multi-document summarization
ECIR'07 Proceedings of the 29th European conference on IR research
Modeling Document Summarization as Multi-objective Optimization
IITSI '10 Proceedings of the 2010 Third International Symposium on Intelligent Information Technology and Security Informatics
Fuzzy swarm diversity hybrid model for text summarization
Information Processing and Management: an International Journal
A short text modeling method combining semantic and statistical information
Information Sciences: an International Journal
Putting the user in the loop: interactive Maximal Marginal Relevance for query-focused summarization
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Document update summarization using incremental hierarchical clustering
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Generic Text Summarization for Turkish
The Computer Journal
Applying regression models to query-focused multi-document summarization
Information Processing and Management: an International Journal
Integrating Document Clustering and Multidocument Summarization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Information Processing and Management: an International Journal
A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering
Expert Systems with Applications: An International Journal
Differential Evolution: A Survey of the State-of-the-Art
IEEE Transactions on Evolutionary Computation
MCMR: Maximum coverage and minimum redundant text summarization model
Expert Systems with Applications: An International Journal
CDDS: Constraint-driven document summarization models
Expert Systems with Applications: An International Journal
Multi-document summarization based on the Yago ontology
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
With the rapid growth of information on the Internet and electronic government recently, automatic multi-document summarization has become an important task. Multi-document summarization is an optimization problem requiring simultaneous optimization of more than one objective function. In this study, when building summaries from multiple documents, we attempt to balance two objectives, content coverage and redundancy. Our goal is to investigate three fundamental aspects of the problem, i.e. designing an optimization model, solving the optimization problem and finding the solution to the best summary. We model multi-document summarization as a Quadratic Boolean Programing (QBP) problem where the objective function is a weighted combination of the content coverage and redundancy objectives. The objective function measures the possible summaries based on the identified salient sentences and overlap information between selected sentences. An innovative aspect of our model lies in its ability to remove redundancy while selecting representative sentences. The QBP problem has been solved by using a binary differential evolution algorithm. Evaluation of the model has been performed on the DUC2002, DUC2004 and DUC2006 data sets. We have evaluated our model automatically using ROUGE toolkit and reported the significance of our results through 95% confidence intervals. The experimental results show that the optimization-based approach for document summarization is truly a promising research direction.