Leveraging DistilBERT for Summarizing Arabic Text: An Extractive Dual-Stage Approach

Leveraging DistilBERT for Summarizing Arabic Text: An Extractive Dual-Stage Approach

Towards tackling the phenomenon of textual information overload that is exponentially pumping with redundancy over the Internet, this paper investigates a solution depending on the Automatic Text Summarization (ATS) method. The idea of ATS is to assist, e.g., online readers, in getting a simplified...

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Bibliographic Details
Main Authors: Abdullah Alshanqiti, Abdallah Namoun, Aeshah Alsughayyir, Aisha Mousa Mashraqi, Abdul Rehman Gilal, Sami Saad Albouq
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
NLP
natural language understanding
automatic text summarization
machine learning
transfer learning
pre-trained model
Online Access:https://ieeexplore.ieee.org/document/9539169/

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