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...

詳細記述

書誌詳細

第一著者:	Hazmi Wahab, Muhammad Hafizul
フォーマット:	学位論文
言語:	英語
出版事項:	2024
主題:	Optimization algorithms (Computer science) Parallel processing (Computer science) Natural language processing (Computer science)
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/120029/1/120029.pdf