Diversity based text summarization
Diversity of selected sentences is an important factor in automatic text summarization to control redundancy in the summarized text. In paper, we propose a method called maximal marginal importance (MMI) for text summarization based on the idea of the well-known diversity approach maximal marginal r...
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| Format: | Article |
| Language: | en |
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Penerbit UTM Press
2008
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| Online Access: | http://eprints.utm.my/9422/1/NaomieSalimKPFSKSM2008_DiversityBasedTextSummarization.pdf http://eprints.utm.my/9422/ |
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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 |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Diversity of selected sentences is an important factor in automatic text summarization to control redundancy in the summarized text. In paper, we propose a method called maximal marginal importance (MMI) for text summarization based on the idea of the well-known diversity approach maximal marginal relevance (MMR) where an emphasis is on the diversity based binary tree is used to exploit the diversity among the document sentences, where the whole document is clustered into a number of clusters, and then each cluster is presented as one binary tree or more. In our method, the sentence is evaluated based on its importance and its relevance. Our experimental results shown that the proposed method outperforms the three benchmark methods used in this study. |
| format | Article |
| id | my.utm.eprints-9422 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2008 |
| publisher | Penerbit UTM Press |
| record_format | eprints |
| spelling | my.utm.eprints-94222017-11-01T04:17:21Z http://eprints.utm.my/9422/ Diversity based text summarization Binwahlan, Mohammed Salem Salim, Naomie Suanmali, Ladda QA75 Electronic computers. Computer science Diversity of selected sentences is an important factor in automatic text summarization to control redundancy in the summarized text. In paper, we propose a method called maximal marginal importance (MMI) for text summarization based on the idea of the well-known diversity approach maximal marginal relevance (MMR) where an emphasis is on the diversity based binary tree is used to exploit the diversity among the document sentences, where the whole document is clustered into a number of clusters, and then each cluster is presented as one binary tree or more. In our method, the sentence is evaluated based on its importance and its relevance. Our experimental results shown that the proposed method outperforms the three benchmark methods used in this study. Penerbit UTM Press 2008-12 Article PeerReviewed application/pdf en http://eprints.utm.my/9422/1/NaomieSalimKPFSKSM2008_DiversityBasedTextSummarization.pdf Binwahlan, Mohammed Salem and Salim, Naomie and Suanmali, Ladda (2008) Diversity based text summarization. Jurnal Teknologi Maklumat, 20 (2). pp. 1-11. ISSN 0128-3790 |
| spellingShingle | QA75 Electronic computers. Computer science Binwahlan, Mohammed Salem Salim, Naomie Suanmali, Ladda Diversity based text summarization |
| title | Diversity based text summarization |
| title_full | Diversity based text summarization |
| title_fullStr | Diversity based text summarization |
| title_full_unstemmed | Diversity based text summarization |
| title_short | Diversity based text summarization |
| title_sort | diversity based text summarization |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/9422/1/NaomieSalimKPFSKSM2008_DiversityBasedTextSummarization.pdf http://eprints.utm.my/9422/ |
| url_provider | http://eprints.utm.my/ |