An Abstractive Summarization Technique with Variable Length Keywords as per Document Diversity-Reference-Cited by-同舟云学术

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An Abstractive Summarization Technique with Variable Length Keywords as per Document Diversity

Published:2021 Issue:3 Volume:66 Page:2409-2423
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Yahya Saeed Muhammad,Awais Muhammad,Younas Muhammad,Arif Shah Muhammad,Khan Atif,Irfan Uddin M.,Mahmoud Marwan

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v66n3/41092/pdf

Cited by 4 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. Automatic text summarization for government news reports based on multiple features;The Journal of Supercomputing;2023-08-30

2. Systematic Literature Review of Text Feature Extraction;2022 Seventh International Conference on Informatics and Computing (ICIC);2022-12-08

3. Unsupervised Graph-Based Tibetan Multi-Document Summarization;Computers, Materials & Continua;2022

4. A Hybrid Automatic Text Summarization Model for Judgment Documents;Advances in Artificial Intelligence and Security;2022

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