Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization

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Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization

The central challenge in Automatic Text Summarization (ATS) is efficiently generating machine-generated text summaries through optimization algorithms, a critical component for systems dealing with textual information processing. The current approach encounters a significant hurdle due to the lo...

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Bibliographic Details
Main Author:	Hazmi Wahab, Muhammad Hafizul
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Optimization algorithms (Computer science) Parallel processing (Computer science) Natural language processing (Computer science)
Online Access:	http://psasir.upm.edu.my/id/eprint/120029/ http://psasir.upm.edu.my/id/eprint/120029/1/120029.pdf

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