Swarm diversity based text summarization
Automatic text summarization systems aim to make their created summaries closer to human summaries. The summary creation under the condition of the redundancy and the summary length limitation is a challenge problem. The automatic text summarization system which is built based on exploiting of the a...
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| Format: | Book Section |
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Springer
2009
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| _version_ | 1796855440198336512 |
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| author | Binwahlan, Mohammed Salem Salim, Naomie Suanmali, Ladda |
| author_facet | Binwahlan, Mohammed Salem Salim, Naomie Suanmali, Ladda |
| author_sort | Binwahlan, Mohammed Salem |
| collection | ePrints |
| description | Automatic text summarization systems aim to make their created summaries closer to human summaries. The summary creation under the condition of the redundancy and the summary length limitation is a challenge problem. The automatic text summarization system which is built based on exploiting of the advantages of different techniques in form of an integrated model could produce a good summary for the original document. In this paper, we introduced an integrated model for automatic text summarization problem; we tried to exploit different techniques advantages in building of our model like advantage of diversity based method which can filter the similar sentences and select the most diverse ones and advantage of the differentiation between the most important features and less important using swarm based method. The experimental results showed that our model got the best performance over all methods used in this study. |
| first_indexed | 2024-03-05T18:28:35Z |
| format | Book Section |
| id | utm.eprints-14786 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:28:35Z |
| publishDate | 2009 |
| publisher | Springer |
| record_format | dspace |
| spelling | utm.eprints-147862017-02-05T00:43:47Z http://eprints.utm.my/14786/ Swarm diversity based text summarization Binwahlan, Mohammed Salem Salim, Naomie Suanmali, Ladda T Technology (General) Automatic text summarization systems aim to make their created summaries closer to human summaries. The summary creation under the condition of the redundancy and the summary length limitation is a challenge problem. The automatic text summarization system which is built based on exploiting of the advantages of different techniques in form of an integrated model could produce a good summary for the original document. In this paper, we introduced an integrated model for automatic text summarization problem; we tried to exploit different techniques advantages in building of our model like advantage of diversity based method which can filter the similar sentences and select the most diverse ones and advantage of the differentiation between the most important features and less important using swarm based method. The experimental results showed that our model got the best performance over all methods used in this study. Springer 2009 Book Section PeerReviewed Binwahlan, Mohammed Salem and Salim, Naomie and Suanmali, Ladda (2009) Swarm diversity based text summarization. In: Neural Information Processing. Springer, Berlin/ Heidelberg, pp. 216-268. ISBN 978-3-642-10682-8 |
| spellingShingle | T Technology (General) Binwahlan, Mohammed Salem Salim, Naomie Suanmali, Ladda Swarm diversity based text summarization |
| title | Swarm diversity based text summarization |
| title_full | Swarm diversity based text summarization |
| title_fullStr | Swarm diversity based text summarization |
| title_full_unstemmed | Swarm diversity based text summarization |
| title_short | Swarm diversity based text summarization |
| title_sort | swarm diversity based text summarization |
| topic | T Technology (General) |
| work_keys_str_mv | AT binwahlanmohammedsalem swarmdiversitybasedtextsummarization AT salimnaomie swarmdiversitybasedtextsummarization AT suanmaliladda swarmdiversitybasedtextsummarization |