Abstractive text summarization: State of the art, challenges, and improvements-Reference-Cited by-同舟云学术

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Abstractive text summarization: State of the art, challenges, and improvements

Published:2024-10 Issue: Volume:603 Page:128255
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Shakil Hassan,Farooq Ahmad^ORCID,Kalita Jugal

Funder

National Science Foundation

Publisher

Elsevier BV

Reference234 articles.

1. Advances in Automatic Text Summarization;Maybury,1999

2. Abstractive text summarization using sequence-to-sequence RNNs and beyond;Nallapati,2016

3. Review of automatic text summarization techniques & methods;Widyassari;J. Eng. Sci. King Saud Univ.-Comput. Inf. Sci.,2020

4. Automatic text summarization: A comprehensive survey;El-Kassas;Expert Syst. Appl.,2021

5. A multi-document summarization system based on statistics and linguistic treatment;Ferreira;Expert Syst. Appl.,2014

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