An automatic arabic text summarization system based on genetic algorithms

被引：5
|
作者：
Tanfouri, Imen [1 ]
Tlik, Ghassen [1 ,2 ]
Jarray, Fethi [1 ,2 ]
机构：
[1] UTM Univ, LIMTIC Lab, Tunis, Tunisia
[2] Higher Inst Comp Sci Medenine, Tunis, Tunisia
来源：
AI IN COMPUTATIONAL LINGUISTICS | 2021年 / 189卷
关键词：
single document summarization; arabic text; genetic algorithm; natural language processing; SINGLE;
D O I：
10.1016/j.procs.2021.05.083
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Text summarization is the creation of compressed version of a given document that covers important information from original document. The aim of text summarization is to reduce the original text into a shorter text which represents significant content of the original text. There are two approaches for automatic text summarization: extractive and abstractive. Extractive summarization consists to select the most significant sentences on the original text. Abstractive summarization consists to compose novel sentences coherent with the original text. In this paper, we present an extractive based single document approach for Arabic text summarization system using Genetic Algorithms. (C) 2021 The Authors. Published by Elsevier B.V.
引用
收藏
页码：195 / 202
页数：8
相关论文
共 50 条
  • [31] AUTOMATIC TEXT SUMMARIZATION USING PAGE RANK AND GENETIC ALGORITHM
    Gupta, Shashank
    Jagrawal, Anushree
    Mathur, Neha
    JOURNAL OF RAJASTHAN ACADEMY OF PHYSICAL SCIENCES, 2014, 13 (02): : 171 - 179
  • [32] Single Document Extractive Text Summarization Using Genetic Algorithms
    Chatterjee, Niladri
    Mittal, Amol
    Goyal, Shubham
    2012 THIRD INTERNATIONAL CONFERENCE ON EMERGING APPLICATIONS OF INFORMATION TECHNOLOGY (EAIT), 2012, : 19 - 23
  • [33] A Comprehensive Review of Arabic Text Summarization
    Elsaid, Asmaa
    Mohammed, Ammar
    Ibrahim, Lamiaa Fattouh
    Sakre, Mohammed M.
    IEEE ACCESS, 2022, 10 : 38012 - 38030
  • [34] PSO-Based Feature Selection for Arabic Text Summarization
    Al-Zahrani, Ahmed M.
    Mathkour, Hassan
    Abdalla, Hassan
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2015, 21 (11) : 1454 - 1469
  • [35] Extractive Arabic Text Summarization-Graph-Based Approach
    AL-Khassawneh, Yazan Alaya
    Hanandeh, Essam Said
    ELECTRONICS, 2023, 12 (02)
  • [36] An Evaluation of Automatic Text Summarization of News Articles: The Case of Three Online Arabic Text Summary Generators
    Alliheibi, Fahad M.
    Omar, Abdulfattah
    Al-Horais, Nasser
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (05) : 91 - 101
  • [37] A chinese automatic text summarization system for mobile devices
    Faculty of Engineering, The University of Tokushima, 2-1 Minamijosanjima, Tokushima 770-8506, Japan
    不详
    PACLIC - Proc. Pacific Asia Conf. Lang., Inf. Comput., 2006, (426-429):
  • [38] A survey of text summarization and Headline Generation methods in Arabic: A survey of text summarization and Headline Generation methods in Arabic
    Shaibani, Arwa Yahya
    Elnagar, Ashraf Mohammed
    ACM International Conference Proceeding Series, : 317 - 323
  • [39] A Chinese Automatic Text Summarization system for mobile devices
    Yu, Lei
    Liu, Mengge
    Ren, Fuji
    Kuroiwa, Shingo
    PACLIC 20: PROCEEDINGS OF THE 20TH PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION, 2006, : 426 - 429
  • [40] Ikhtasir - A User Selected Compression Ratio Arabic Text Summarization System
    Azmi, Aqil
    Al-Thanyyan, Suha
    IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, 2009, : 403 - +
12345