Volume 3 (1) 2009

Title: Text Summarization Based on Genetic Programming
Authors: Pooya Khosraviyan Dehkordi & Dr. Farshad Kumarci*,
Dr. Hamid Khosravi
Published: ©IJCIR Vol3(1) 2009, pp. 57-64
Language: English

This work proposes an approach to address the problem of improving content selection in automatic text summarization by using some statistical tools. This approach is a trainable summarizer, which
takes into account several features, for each sentence to generate summaries. First, we investigate the effect of each sentence feature on the summarization task. Then we use all features in combination to
train genetic programming (GP), vector approach and fuzzy approach in order to construct a text summarizer for each model. Furthermore, we use trained models to test summarization performance.
The proposed approach performance is measured at several compression rates on a data corpus composed of 17 English scientific articles. View full Article


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Makerere University annually organises the International Conference on Computing and ICT Research in the month of August. This conference provides an international forum for researchers and practitioners to present and discuss the state-of-the-art research and practices in Computer Science, Software Engineering, Information Systems, Information Technology, Computer Engineering, Data Comunications and Computer Networks and ICT for Sustainable Development. Read More


The International Journal of Computing and ICT Research
Makerere University

Kampala, Uganda.
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