Comparative Study of Extractive Text Summarization Techniques
Author:
Affiliation:
1. Hamad Medical Corporation,Doha,Qatar
2. Qatar University,Doha,Qatar
3. Primary Health Care Corporation,Doha,Qatar
4. Oryx Universal College in Partnership With LJMU,Doha,Qatar
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9686796/9686755/09686867.pdf?arnumber=9686867
Reference25 articles.
1. Text summarization features selection method using pseudo Genetic-based model
2. Feature based text summarization;prasad;International Journal of Advances in Computing and Information Researches,2012
3. GA, MR, FFNN, PNN and GMM based models for automatic text summarization
4. An Extractive Text Summarizer Based on Significant Words
5. Matching documents and summaries using key-concepts;tonelli;Actes du septième DÉfi Fouille de Textes,2011
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