| 000 | 02581cam a2200349 a 4500 | ||
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| 003 | EG-GiCUC | ||
| 005 | 20250223031106.0 | ||
| 008 | 141113s2014 ua d f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.18.02.M.Sc.2014.Ah.I | ||
| 100 | 0 | _aAhmed Ibrahim Moussa Hussein Ali | |
| 245 | 1 | 0 |
_aImproving the automatic summarization of Arabic text depending on rhetorical structure theory / _cAhmed Ibrahim Moussa Hussein Ali ; Supervised Mervat Gheith , Laila Nassef , Tarek Elghazaly |
| 246 | 1 | 5 | _aتحسين التلخيص الآلي للنصوص العربية اعتمادًا على نظرية التركيب البياني |
| 260 |
_aCairo : _bAhmed Ibrahim Moussa Hussein Ali , _c2014 |
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| 300 |
_a114 Leaves : _bcharts ; _c25cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Sciences | ||
| 520 | _aNowadays, numerous documents, reports and articles are available in a digital form. Consequently, search engines retrieve an abundance of information. Besides, an overwhelming number of emails and documents floods users and agencies. Therefore, such retrieved documents need to be summarized. In this information explosion, the automatic text summarization proves to be an essential tool. Nevertheless, the key problem with the automatic text summarization process is that the target-summarized text is incoherent and deviates from the context of the original text. This problem emerges when statistical techniques are used for summarization. This thesis uses a semantic technique by adopting a Rhetorical Structure Theory. RST is a descriptive theory for a major aspect of the organization of natural texts. It extracts the semantics behind the text by identifying the most significant parts thereof. Here comes the role of this thesis as it introduces an infrastructure for applying RST to Arabic by collecting the Arabic rhetorical relations from different resources to build the rhetorical structure theory. However, the quality of RST summarization suffers when dealing with large documents | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aArabic text | |
| 653 | 4 | _aRhetorical structure theory | |
| 653 | 4 | _aRST | |
| 700 | 0 |
_aLaila Nassef , _eSupervisor |
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| 700 | 0 |
_aMervat Gheith , _eSupervisor |
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| 700 | 0 |
_aTarek Elghazaly , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
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_aAml _eCataloger |
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| 905 |
_aNazla _eRevisor |
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_2ddc _cTH |
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_c48203 _d48203 |
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