• العربية
    • English
  • English 
    • العربية
    • English
  • Login
Home
Publisher PoliciesTerms of InterestHelp Videos
Submit Thesis
IntroductionIUGSpace Policies
JavaScript is disabled for your browser. Some features of this site may not work without it.
View Item 
  •   Home
  • Faculty of Engineering
  • PhD and MSc Theses- Faculty of Engineering
  • View Item
  •   Home
  • Faculty of Engineering
  • PhD and MSc Theses- Faculty of Engineering
  • View Item

Please use this identifier to cite or link to this item:

http://hdl.handle.net/20.500.12358/19174
TitleMulti-document Arabic Text Summarization
Untitled
Abstract

With the rapid growth of data on the internet, there is an essential need for automatic summarization systems. A lot of automatic text summarization researches have been done for English and other languages. Recently, there has been growing interest in the Arabic language by researchers. Many of these researches concerned with single document Arabic text summarization. Multi-document summarization facing many challenges, the main challenges are: redundancy removal, and sentence reordering. In this research, we discussed the possibility of using a single document summarization methods for multi-document summarization, also we proposed a system for multi-document Arabic text summarization based on cross document structure theory. The CST based method help to identify the semantic relationships between sentences across different documents. For redundancy removal we create a novel approach based on splitting the similar sentences into smaller units to eliminate unnecessary ones, and realign the rest of units to form a non-redundant sentence. For evaluation, a Recall-Oriented Understudy for Gisting Evaluation ROUGE evaluation measure is used. The proposed system is applied on news domain using TAC 2011 MultiLing Pilot dataset. The proposed system is compared by ten peer summaries provided from the dataset. The evaluation results show a good performance for CST based method compared to the other peer systems summaries.

Authors
Al Harazin, Karim S
Supervisors
Ashour, Wesam M. Z.
Typeرسالة ماجستير
Date2015
LanguageEnglish
Publisherالجامعة الإسلامية - غزة
Citation
License
Collections
  • PhD and MSc Theses- Faculty of Engineering [641]
Files in this item
file_1.pdf2.027Mb
Thumbnail

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback
 

 

Browse

All of IUGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsSupervisorsThis CollectionBy Issue DateAuthorsTitlesSubjectsSupervisors

My Account

LoginRegister

Statistics

View Usage Statistics

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback