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

  • Published:2018-11 Issue: Volume:159 Page:1-8
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Sanchez-Gomez Jesus M.,Vega-Rodríguez Miguel A.,Pérez Carlos J.

Funder

Centro para el Desarrollo Tecnológico Industrial

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference35 articles.

1. Mining big data: current status, and forecast to the future;Fan;ACM SIGKDD Explor. Newsl.,2013

2. Selection criteria for text mining approaches;Hashimi;Comput. Hum. Behav.,2015

3. Single-document and multi-document summarization techniques for email threads using sentence compression;Zajic;Inf. Process. Manage.,2008

4. An exploration of document impact on graph-based multi-document summarization;Wan,2008

5. Sentence selection for generic document summarization using an adaptive differential evolution algorithm;Alguliev;Swarm Evol. Comput.,2011
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