Arabic Text Summarization using Firefly Algorithm

被引：0
|
作者：
Al-Abdallah, Raed Z. [1 ]
Al-Taani, Ahmad T. [1 ]
机构：
[1] Yarmouk Univ, Fac Comp Sci & Informat Technol, Dept Comp Sci, Irbid, Jordan
来源：
PROCEEDINGS 2019 AMITY INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AICAI) | 2019年
关键词：
Text Summarization; Extractive-based Summarization; Arabic Text Summarization; Firefly Algorithm; Swarm Intelligence; Optimization;
D O I：
10.1109/aicai.2019.8701245
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this research, we propose the use of Firefly algorithm for the extraction of summaries of single Arabic documents. The proposed approach is compared with two evolutionary approaches that use genetic algorithms and harmony search. The EASC Corpus and the ROUGE toolkit are used for the evaluation of the proposed approach. Experimental results showed that the proposed approach achieved competitive and even higher ROUGE scores in comparison with the two state-of-the-art approaches.
引用
收藏
页码：61 / 65
页数：5
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