Automatic Text Summarization Using:Fuzzy GA-GP

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Aparna Ladekar and Archana Mujumdar and 
                 Prajakta Nipane and Sonam Titar and Mrs Kavitha S",
  title =        "Automatic Text Summarization Using:Fuzzy {GA}-{GP}",
  journal =      "International Journal of Engineering Research and
  year =         "2012",
  volume =       "2",
  number =       "2",
  pages =        "1551--1555",
  month =        mar # "-" # apr,
  keywords =     "genetic algorithms, genetic programming",
  bibsource =    "OAI-PMH server at",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:",
  ISSN =         "2248-9622",
  URL =          "",
  URL =          "",
  size =         "5 pages",
  abstract =     "The rapid growth of the data in the Internet has
                 overloaded the user with enormous amounts of
                 information which is more difficult to access huge
                 volumes of documents. Automatic Text Summarisation
                 technique is an important activity in the analysis of
                 high volume documents. The proposed system generates a
                 summary for a given input document based on
                 identification and extraction of important sentences in
                 the documents by reducing the redundancy of data. A
                 novel technique is proposed for summarising text using
                 a combination of Genetic Algorithms (GA) and Genetic
                 Programming (GP) to optimise rule sets and membership
                 functions of fuzzy systems.",

Genetic Programming entries for Aparna Ladekar Archana Mujumdar Prajakta Nipane Sonam Titar Mrs Kavitha S