Minimum Redundancy And Maximum Relevance For Single And Multi Document Arabic Text Summarization
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Oufaida, Houda (Author) |
| مؤلفين آخرين: | Nouali, Omar (Co-Author) , Blache, Philippe (Co-Author) |
| المجلد/العدد: | مج26, ع4 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2014
|
| الصفحات: | 450 - 461 |
| DOI: |
10.33948/0584-026-004-010 |
| ISSN: |
1319-1578 |
| رقم MD: | 973382 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Arabic Text Summarization | Sentence Extraction | Mrmr | Minimum Redundancy | Maximum Relevance
|
| رابط المحتوى: |
| LEADER | 01968nam a22002537a 4500 | ||
|---|---|---|---|
| 001 | 1716275 | ||
| 024 | |3 10.33948/0584-026-004-010 | ||
| 041 | |a eng | ||
| 044 | |b السعودية | ||
| 100 | |9 524816 |a Oufaida, Houda |e Author | ||
| 245 | |a Minimum Redundancy And Maximum Relevance For Single And Multi Document Arabic Text Summarization | ||
| 260 | |b جامعة الملك سعود |c 2014 | ||
| 300 | |a 450 - 461 | ||
| 336 | |a بحوث ومقالات |b Article | ||
| 520 | |b Automatic text summarization aims to produce summaries for one or more texts using machine techniques. In this paper, we propose a novel statistical summarization system for Arabic texts. Our system uses a clustering algorithm and an adapted discriminant analysis method: mRMR (minimum redundancy and maximum relevance) to score terms. Through mRMR analysis, terms are ranked according to their discriminant and coverage power. Second, we propose a novel sentence extraction algorithm which selects sentences with top ranked terms and maximum diversity. Our system uses minimal language-dependant processing: sentence splitting, tokenization and root extraction. Experimental results on EASC and TAC 2011 Multi Lingual datasets showed that our proposed approach is competitive to the state of the art systems. | ||
| 653 | |a اللسانيات الحاسوبية |a الخوارزميات |a اللغة العربية | ||
| 692 | |b Arabic Text Summarization |b Sentence Extraction |b Mrmr |b Minimum Redundancy |b Maximum Relevance | ||
| 700 | |9 524818 |a Nouali, Omar |e Co-Author | ||
| 700 | |9 524819 |a Blache, Philippe |e Co-Author | ||
| 773 | |c 010 |e Journal of King Saud University (Computer and Information Sciences) |f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat |l 004 |m مج26, ع4 |o 0584 |s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |v 026 |x 1319-1578 | ||
| 856 | |u 0584-026-004-010.pdf | ||
| 930 | |d y |p y | ||
| 995 | |a science | ||
| 999 | |c 973382 |d 973382 | ||
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