A Survey of Automatic Text Summarization: Progress, Process and Challenges-Reference-Cited by-同舟云学术

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A Survey of Automatic Text Summarization: Progress, Process and Challenges

Published:2021 Issue: Volume:9 Page:156043-156070
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mridha M. F.^ORCID,Lima Aklima Akter^ORCID,Nur Kamruddin^ORCID,Das Sujoy Chandra^ORCID,Hasan Mahmud,Kabir Muhammad Mohsin^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09623462.pdf?arnumber=9623462

Cited by 58 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. A systematic literature review of deep learning-based text summarization: Techniques, input representation, training strategies, mechanisms, datasets, evaluation, and challenges;Expert Systems with Applications;2024-10

2. 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

3. A survey of text summarization: Techniques, evaluation and challenges;Natural Language Processing Journal;2024-06

4. TranscribEase – Speech and Document Summarizer;Journal of Innovative Image Processing;2024-06

5. Text Summarization Using NLP;International Journal of Advanced Research in Science, Communication and Technology;2024-05-30

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