Abstract
Currently vast amounts of textual information exist in large repositories such as Web. To processes such a huge amount of information, automatic text summarization has been of great interests. Unlike many approaches which focus on sentence or paragraph extraction, in this research, we introduce a method to make extractions based on three factors of Readability, Cohesion and Topic relation. We use Harmony Search-based sentence selection to make such a summary. Once the summary is created, it is evaluated using a fitness function based on those three factors. The evaluation of the algorithm on a test collection is also presented in the paper. Our results indicate that the extracted summaries by our proposed scheme have better precision and recall than the other approaches.
Original language | English |
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Title of host publication | 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST '08 - Proceedings |
Pages | 226-231 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Dec 2008 |
Externally published | Yes |
Event | 5th International Conference on Soft Computing As Transdisciplinary Science and Technology, CSTST '08 - Cergy-Pontoise, France Duration: 28 Oct 2008 → 31 Oct 2008 |
Conference
Conference | 5th International Conference on Soft Computing As Transdisciplinary Science and Technology, CSTST '08 |
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Country/Territory | France |
City | Cergy-Pontoise |
Period | 28/10/08 → 31/10/08 |
Keywords
- Automatic text summarization
- Evolutionary algorithm
- Harmony search algorithm
- Sentence extraction