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Abstractive summarization for Arabic text / (Record no. 61588)

MARC details
000 -LEADER
fixed length control field 02996cam a2200325 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031744.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170717s2016 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.20.01.M.Sc.2016.Mu.A
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Muneer Ahmed Abdullah Alwan
245 10 - TITLE STATEMENT
Title Abstractive summarization for Arabic text /
Statement of responsibility, etc. Muneer Ahmed Abdullah Alwan ; Supervised Hoda Mohamed Onsi
246 15 - VARYING FORM OF TITLE
Title proper/short title التلخيص المجرد للنصوص العربية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Muneer Ahmed Abdullah Alwan ,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 76 Leaves :
Other physical details charts , facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information- Department of Information Technology
520 ## - SUMMARY, ETC.
Summary, etc. In the last few decades, there was a dramatic increase of the content over the Internet, in- crease in Internet users, and increase demand for information that traditional information processing methods can not satisfy. With this boom of the Web{u2019}s content, an inevitable need for e{uFB00}ective techniques to exploit and make use of this huge amount of information is raised. In particular, the possibility of extracting the most important points from large piece of text is called text summarization. Text summarization (TS) task is still an active area of research in natural language processing. Several methods and techniques that have been proposed in the literature in di{uFB00}erence languages to solve this task have presented mixed success. Summarization process can be seen as a two-steps process: identifying the important parts of the whole text, and then generate the summary from these parts. In general, an automatic text summarization can be divided into two categories: extractive and abstractive text summarization. Furthermore, both extractive and ab- stractive text summarization can be used to summarize either single document or multi- document. However, such methods developed in a multi-document Arabic text summa-rization are based on extractive summary and none of them is oriented to abstractive summary. This is due to that abstractive techniques require a deeper language process that could be involved sentence reduction, information merging and language generation. In addition, the characteristic of Arabic language and lack of resources and preprocessing tools still challenging problem. In this thesis, a minimal language-dependent processing abstractive Arabic multi-document summarizer has been presented. The proposed model is based on textual graph to remove multi-document redundancy and generate coherent summary
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Arabic abstractive summary
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Text summarization
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Textual graph
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Hoda Mohamed Onsi ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.20.01.M.Sc.2016.Mu.A 01010110072142000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.01.M.Sc.2016.Mu.A 01020110072142000 22.09.2023 CD - Rom 72142.CD