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Generic summarization, optimization model, balancing coverage and diversity, Heronian mean, discrete particle swarm optimization, estimation of distribution algorithm
We model document summarization as a nonlinear 0-1 programming problem where an objective function is defined as Heronian mean of the objective functions enforcing the coverage and diversity. The proposed model implemented on a multi-document summarization task. Experiments on DUC2001 and DUC2002 datasets showed that the proposed model outperforms the other summarization methods.
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Porter Stemming Algorithm: HHUUhttp://www.tartarus.org/martin/PorterStemmer/UU
English stoplist: HHUUftp://ftp.cs.cornell.edu/pub/smart/english.stopUUHH
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