Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network  

作　　者：Ibrahim M.Alwayle Hala J.Alshahrani Saud S.Alotaibi Khaled M.Alalayah Amira Sayed A.Aziz Khadija M.Alaidarous Ibrahim Abdulrab Ahmed Manar Ahmed Hamza 

机构地区：[1]Department of Computer Science,College of Science and Arts,Sharurah,Najran University,Sharurah,Saudi Arabia [2]Department of Applied Linguistics,College of Languages,Princess Nourah bint Abdulrahman University,P.O.Box 84428,Riyadh,11671,Saudi Arabia [3]Department of Information Systems,College of Computing and Information System,Umm Al-Qura University,Makkah,Saudi Arabia [4]Department of Digital Media,Faculty of Computers and Information Technology,Future University in Egypt,New Cairo,11835,Egypt [5]Computer Department,Applied College,Najran University,Najran,66462,Saudi Arabia [6]Department of Computer and Self Development,Preparatory Year Deanship,Prince Sattam bin Abdulaziz University,AlKharj,Saudi Arabia

出　　处：《Intelligent Automation & Soft Computing》2023年第11期153-168,共16页智能自动化与软计算（英文）

基　　金：Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2022R281);Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia;The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:22UQU4210118DSR33;The authors are thankful to the Deanship of ScientificResearch atNajranUniversity for funding thiswork under theResearch Groups Funding Program Grant Code(NU/RG/SERC/11/7).

摘　　要：ive Arabic Text Summarization using Hyperparameter Tuned Denoising Deep Neural Network(AATS-HTDDNN)technique.The presented AATS-HTDDNN technique aims to generate summaries of Arabic text.In the presented AATS-HTDDNN technique,the DDNN model is utilized to generate the summary.This study exploits the Chameleon Swarm Optimization(CSO)algorithm to fine-tune the hyperparameters relevant to the DDNN model since it considerably affects the summarization efficiency.This phase shows the novelty of the current study.To validate the enhanced summarization performance of the proposed AATS-HTDDNN model,a comprehensive experimental analysis was conducted.The comparison study outcomes confirmed the better performance of the AATS-HTDDNN model over other approaches.

关 键 词：Text summarization deep learning denoising deep neural networks hyperparameter tuning Arabic language 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]