A Generative Adversarial Network-Based Extractive Text Summarization Using Transductive and Reinforcement Learning

A Generative Adversarial Network-Based Extractive Text Summarization Using Transductive and Reinforcement Learning

Text summarization is crucial in various sectors, such as engineering and healthcare, because it enhances efficiency in terms of time and costs. Current extractive text summarization methods struggle with challenges such as greedy selection, model generalization limitations, and high computational d...

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Bibliographic Details
Main Authors: Jing Yang, Haoshen Qin, Yiping Sun, Hao Wang, Abdullah Ayub Khan, Lip Yee Por, Roohallah Alizadehsani, Pawel Plawiak
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Text summarization
transductive learning
generative adversarial network
reinforcement learning
DistilBERT
Online Access:https://ieeexplore.ieee.org/document/10950384/
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https://ieeexplore.ieee.org/document/10950384/

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