02581cam a2200349 a 4500 EG-GiCUC 20250223031106.0 141113s2014 ua d f m 000 0 eng d EG-GiCUC eng EG-GiCUC eng Deposite M.Sc Cai01.18.02.M.Sc.2014.Ah.I Ahmed Ibrahim Moussa Hussein Ali Improving the automatic summarization of Arabic text depending on rhetorical structure theory / Ahmed Ibrahim Moussa Hussein Ali ; Supervised Mervat Gheith , Laila Nassef , Tarek Elghazaly تحسين التلخيص الآلي للنصوص العربية اعتمادًا على نظرية التركيب البياني Cairo : Ahmed Ibrahim Moussa Hussein Ali , 2014 114 Leaves : charts ; 25cm Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Sciences Nowadays, 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 Issued also as CD Arabic text Rhetorical structure theory RST Laila Nassef , Supervisor Mervat Gheith , Supervisor Tarek Elghazaly , Supervisor http://172.23.153.220/th.pdf Aml Cataloger Nazla Revisor ddc TH 48203 48203 ddc 0 CUCL cl210 2024-02-11 Cai01.18.02.M.Sc.2014.Ah.I 01010110063878000 2023-09-22 00:00:00 TH ddc 0 CUCL cl2u8 2024-02-11 Cai01.18.02.M.Sc.2014.Ah.I 01020110063878000 2023-09-22 00:00:00 63878.CD CD