Single and Multi-Documents Text Summarization Technologies for Natural Language Processing: a Systematic Review on Method and Dataset-Reference-Cited by-同舟云学术

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Single and Multi-Documents Text Summarization Technologies for Natural Language Processing: a Systematic Review on Method and Dataset

Published:2022-11-22 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Creative Communication and Innovative Technology (ICCIT)
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Author:

Sukmandhani Arief Agus¹,Ramadhan Arief²,Abdurachman Edi²,Trisetyarso Agung²

Affiliation:

1. Bina Nusantara University,Binus Online Learning, Binus Graduate Program, Computer Science,Computer Science Department,Jakarta,Indonesia,11480

2. Bina Nusantara University,Binus Graduate Program, Computer Science,Computer Science Department,Jakarta,Indonesia,11480

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10118583/10118585/10118868.pdf?arnumber=10118868

Reference63 articles.

1. Modeling e-Livestock Indonesia

2. Text Summarization Method Based on Double Attention Pointer Network

3. Decision Support System for Agribusiness Investment as e-Government Service Using Computable General Equilibrium Model

4. Deep learning-based extractive text summarization with word-level attention mechanism

5. A Language Independent Algorithm for Single and Multiple Document Summarization Multi-Document Summarization;mihalcea,2005

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