Fine Tuning Pretrained Transformers for Abstractive News Summarization-Reference-Cited by-同舟云学术

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Fine Tuning Pretrained Transformers for Abstractive News Summarization

Published:2023-10-20 Issue: Volume:28 Page:1-5
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
language:
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Author:

G Bharathi Mohan¹,R Prasanna Kumar¹,R Elakkiya²,B Siva Jyothi Natha Reddy¹,Anvitha Vemireddy¹,Sulochana V³

Affiliation:

1. Amrita Vishwa Vidyapeetham (School of Computing),Computer Science and Engineering,Chennai,India

2. Birla Institute of Technology and Science (School of Computing),Computer Science and Engineering,Dubai,UAE

3. Anna Administrative Staff College,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10393603.pdf?arnumber=10393603

Reference22 articles.

1. NEWS Article Summarization with Pretrained Transformer

2. Extractive Approach For Query Based Text Summarization

3. A Survey of Extractive and Abstractive Text Summarization Techniques

4. Automated News Summarization Using Transformers

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

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