HASumRuNNer: An Extractive Text Summarization Optimization Model Based on a Gradient-Based Algorithm-Reference-Cited by-同舟云学术

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HASumRuNNer: An Extractive Text Summarization Optimization Model Based on a Gradient-Based Algorithm

Published:2023 Issue:4 Volume:14 Page:656-667
ISSN:1798-2340
Container-title:Journal of Advances in Information Technology
language:
Short-container-title:JAIT

Author:

Muljono ,Nababan Mangatur Rudolf,Nugroho Raden Arief,Djajadinata Kevin

Publisher

Engineering and Technology Publishing

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems,Software

Link

http://www.jait.us/uploadfile/2023/JAIT-V14N4-656.pdf

Reference36 articles.

1. [1] E. R. Mahalleh and F. S. Gharehchopogh, "An automatic text summarization based on valuable sentences selection," International Journal of Information Technology, vol. 14, no. 6, pp. 2963-2969, Oct. 2022, doi: 10.1007/S41870-022-01049-X/TABLES/3

2. [2] R. Adelia, S. Suyanto, and U. N. Wisesty, "Indonesian abstractive text summarization using bidirectional gated recurrent unit," Procedia Comput. Sci., vol. 157, pp. 581-588, Jan. 2019, doi: 10.1016/J.PROCS.2019.09.017

3. [3] N. Alami, M. Meknassi, and N. En-nahnahi, "Enhancing unsupervised neural networks based text summarization with word embedding and ensemble learning," Expert Syst. Appl., vol. 123, pp. 195-211, Jun. 2019, doi: 10.1016/J.ESWA.2019.01.037

4. [4] D. Anand and R. Wagh, "Effective deep learning approaches for summarization of legal texts," Journal of King Saud University-Computer and Information Sciences, vol. 34, no. 5, pp. 2141-2150, May 2022, doi: 10.1016/J.JKSUCI.2019.11.015

5. [5] V. Andrearczyk and P. F. Whelan, "Deep learning in texture analysis and its application to tissue image classification," Biomedical Texture Analysis: Fundamentals, Tools and Challenges, pp. 95-129, Jan. 2017, doi: 10.1016/B978-0-12-812133-7.00004-1

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