CoVShorts: News Summarization Application Based on Deep NLP Transformers for SARS-CoV-2-Reference-Cited by-同舟云学术

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CoVShorts: News Summarization Application Based on Deep NLP Transformers for SARS-CoV-2

Published:2021-09-03 Issue: Volume: Page:
ISSN:
Container-title:2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
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Author:

Batra Hunar,Jain Akansha,Bisht Gargi,Srivastava Khushi,Bharadwaj Meenakshi,Bajaj Deepali,Bharti Urmil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9596064/9596065/09596520.pdf?arnumber=9596520

Cited by 9 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. GTMicro—microservice identification approach based on deep NLP transformer model for greenfield developments;International Journal of Information Technology;2024-03-08

2. Breaking news: Unveiling a new dataset for Portuguese news classification and comparative analysis of approaches;PLOS ONE;2024-01-26

3. Comparative Analysis of Summarization Methods for Skin Care Product Reviews: A Study on BERT, BART, and T5 Models;2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA);2023-11-14

4. Fine Tuning Pretrained Transformers for Abstractive News Summarization;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

5. Neural Summarization of Electronic Health Records (Preprint);2023-06-01

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