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Computational Intelligence and Soft Computing Volume 2013
(2013), Article ID 945623, 11 pages Research Article  Use of
Genetic Algorithm for Cohesive Summary Extraction to Assist
Reading Difficulties    Academic Editor: Baoding Liu    Learners
with reading difficulties normally face significant challenges
in understanding the text-based learning materials. In this
regard, there is a need for an assistive summary to help such
learners to approach the learning documents with minimal
difficulty. An important issue in extractive summarization is to
extract cohesive summary from the text. Existing summarization
approaches focus mostly on informative sentences rather than
cohesive sentences. We considered several existing features,
including sentence location, cardinality, title similarity, and
keywords to extract important sentences. Moreover, learner-
dependent readability-related features such as average sentence
length, percentage of trigger words,