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Physica A, ISSN 0378-4371, 2018, Volume 503, pp. 526 - 539
.... While network methods have been adopted to model texts in some scenarios, a systematic evaluation of multilayer network models in the multi-document summarization task has been limited to a few studies... 
PageRank | Structure and dynamics | Text analysis | Multilayer networks | Text summarization | Complex networks | PHYSICS, MULTIDISCIPLINARY | Computer science | Analysis | Big data | Computer Science - Computation and Language
Journal Article
Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, 07/2017, Volume 477, pp. 174 - 186
.... In recent past text summarization is recognized as one of the solution to extract useful information from vast amount documents... 
Cat swarm optimization | Extractive summary | Multi document summarization | Generic summarizer | GENETIC ALGORITHMS | SINGLE | MODELS | PHYSICS, MULTIDISCIPLINARY | MAXIMUM COVERAGE | IDENTIFICATION | DIFFERENTIAL EVOLUTION | Mathematical optimization | Analysis | Computer science | Algorithms
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 11/2015, Volume 42, Issue 21, pp. 8146 - 8155
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 11/2017, Volume 86, pp. 385 - 397
.... Multi-document summarization is the process of extracting salient information from a set of source texts and present that information to the user in a condensed form... 
Multicriteria optimization | Multi-document summarization | DUC | Latent semantic analysis | Non negative matrix factorization | ROUGE | SYSTEM | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer science | Mathematical optimization | Analysis
Journal Article
Expert systems with applications, ISSN 0957-4174, 2015, Volume 42, Issue 3, pp. 1340 - 1352
•A novel contextual topic model is proposed for multi-document summarization.•The main idea is to leverage hierarchical topics and their correlations with respect to the lexical co-occurrences of words... 
Contextual topic | Multi-document summarization | Hierarchical topic model | GRAPH | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | INFORMATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | State of the art | Performance enhancement | Sentences | Natural language processing | Bayesian analysis | Information technology | Expert systems
Journal Article
The Artificial intelligence review, ISSN 1573-7462, 2017, Volume 51, Issue 3, pp. 371 - 402
.... We start with general introduction to text summarization, briefly touch the recent advances in single and multi-document summarization, and then delve into extraction based legal text summarization... 
Multi-document summarization | Artificial Intelligence | Summarization from legal documents | Single-document summarization | Computer Science | Legal domain | Computer Science, general | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Surveys | Software development tools | Information | Text categorization | Artificial intelligence
Journal Article
Applied intelligence (Dordrecht, Netherlands), ISSN 0924-669X, 2012, Volume 37, Issue 3, pp. 420 - 430
Journal Article
Information processing & management, ISSN 0306-4573, 2016, Volume 52, Issue 4, pp. 670 - 681
....•We implement our framework and verify improvement over appropriate baselines. General graph random walk has been successfully applied in multi-document summarization, but it has some limitations to process documents by this way... 
Hypergraph-based ranking | HDP | Multi-document summarization | GRAPH | INFORMATION SCIENCE & LIBRARY SCIENCE | COMPUTER SCIENCE, INFORMATION SYSTEMS | LEXRANK | Studies | Queries | Algorithms | Ratings & rankings | Random walk | Dirichlet problem | Sentences | Graph theory | Probability distribution
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 04/2019, Volume 120, pp. 43 - 56
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2018, Volume 135, pp. 663 - 670
.... Therefore, it is necessary to extend more research about multi-document summarization so that readers can easily understand the intent of online news documents... 
Latent Dirichlet Allocation | Yellow Journalism | K-Means | ROUGE-1 | Multi-Document Summarization | Online News | Significance Sentences
Journal Article
Sadhana (Bangalore), ISSN 0973-7677, 2018, Volume 43, Issue 2, pp. 1 - 11
In this paper we propose a methodology to mine concepts from documents and use these concepts to generate an objective summary of all relevant documents... 
Engineering | multi-document summarization | text mining | MultiLing 2015 dataset | Engineering, general | machine learning | restricted Boltzmann machines | Concept mining | ENGINEERING, MULTIDISCIPLINARY | GRAPHS | Mineral industry | Magneto-electric machines | Data mining | Machinery | Mining industry | Machine learning
Journal Article
Information sciences, ISSN 0020-0255, 2013, Volume 249, pp. 96 - 109
Graph-based summarization entails extracting a worthwhile subset of sentences from a collection of textual documents by using a graph-based model to represent the correlations between pairs of document terms... 
Text mining | Multi-document summarization | Association rule mining | Graph ranking | COMPUTER SCIENCE, INFORMATION SYSTEMS
Journal Article
Applied intelligence (Dordrecht, Netherlands), ISSN 1573-7497, 2013, Volume 40, Issue 4, pp. 592 - 600
Journal Article
PloS one, ISSN 1932-6203, 2019, Volume 14, Issue 11, p. e0223477
With the increase in the amount of text information in different real-life applications, automatic text-summarization systems become more predominant in extracting relevant information... 
OPERATORS | MULTIDISCIPLINARY SCIENCES | GENETIC ALGORITHM | Algorithms | Language | Semantics | Humans | Documentation | Natural Language Processing | Computer Heuristics | Data Mining | Machine Learning | Records |