Exploring the Landscape of Automatic Text Summarization: A Comprehensive Survey

Author:

Khan Bilal1ORCID,Shah Zohaib Ali1,Usman Muhammad2ORCID,Khan Inayat2ORCID,Niazi Badam3ORCID

Affiliation:

1. Department of Computer Software Engineering, University of Engineering and Technology Mardan, Mardan, Pakistan

2. Department of Computer Science, University of Engineering and Technology Mardan, Mardan, Pakistan

3. Faculty of Computer Science, Nangarhar University, Jalalabad, Afghanistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of an integrative model for video scene summarization through integrated frame sampling, language processed ResNets fused with domain adversarial training;International Journal of Information Technology;2024-07-16

2. An Unsupervised Evolutionary Approach for Indian Regional Language Summarization;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

3. Application of Natural Language Processing Technologies to Improve Accessibility of E-Learning Resources;Proceedings of the International Conference on Computer Systems and Technologies 2024;2024-06-14

4. A Novel Deep Learning Attention Based Sequence to Sequence Model for Automatic Abstractive Text Summarization;International Journal of Information Technology;2024-05-26

5. An Empirical Detailed Analysis of Text Summarization using Hybrid and Integrated Technology;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14

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