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ISSN 1996-1065 [Online]
ISSN 1818-1139 [PRINT] |
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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 |
Abstract:
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.
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