GA, MR, FFNN, PNN and GMM based models for automatic text summarization

Computer Speech and Language

Volumn 23, Issue 1, 2009, Pages 126-144

  Fattah, Mohamed Abdel ^a,b   Ren, Fuji ^a,c  

^a UNIVERSITY OF TOKUSHIMA   (Japan)

^b HELWAN UNIVERSITY   (Egypt)

^c BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Automatic summarization; Feed forward neural network; Gaussian mixture model; Genetic algorithm; Mathematical regression; Probabilistic neural network

Indexed keywords

GAUSSIAN DISTRIBUTION; GENETIC ALGORITHMS; STATISTICAL MECHANICS; TEXT PROCESSING;

AUTOMATIC SUMMARIZATION; AUTOMATIC TEXT SUMMARIZATION; FEATURE PARAMETERS; GAUSSIAN MIXTURE MODEL; MATHEMATICAL REGRESSION; PROBABILISTIC NEURAL NETWORKS; SENTENCE FEATURES; TEST SUMMARIZATION;

FEEDFORWARD NEURAL NETWORKS;

EID: 47349121015     PISSN: 08852308     EISSN: 10958363     Source Type: Journal    
DOI: 10.1016/j.csl.2008.04.002     Document Type: Article

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