Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach

Jesús M. Sánchez-Gómez; Miguel A. Vega‐Rodríguez; Carlos J. Pérez

doi:10.1016/j.knosys.2017.11.029

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Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach

Jesús M. Sánchez-Gómez Miguel A. Vega‐Rodríguez Carlos J. Pérez

Year: 2017 Journal: Knowledge-Based Systems Vol: 159 Pages: 1-8 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2017.11.029

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Keywords:

Automatic summarization Computer science ROUGE Field (mathematics) Context (archaeology) Artificial intelligence Task (project management) Machine learning Reduction (mathematics) Data mining Information retrieval Natural language processing Mathematics Engineering

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Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach

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