ArA*summarizer: An Arabic text summarization system based on subtopic segmentation and using an A* algorithm for reduction

Author:

Bahloul Belahcene12ORCID,Aliane Hassina3ORCID,Benmohammed Mohamed2

Affiliation:

1. Department of Mathematics and Computer ScienceUniversity Djilali Bounaama of Khemis Miliana Ain Defla Algeria

2. Department of Software Technologies and Information SystemsUniversity of Abdelhamid Mehri Constantine 2 Constantine Algeria

3. Information Sciences R&D LaboratoryResearch Center on Scientific and Technical Information Algiers Algeria

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference45 articles.

1. Arabic single‐document summarization using particle swarm optimization algorithm;Al‐Abdallah R. Z.;In Proceedings of the 3rd international conference on arabic computational linguistics,2017

2. Lexical cohesion and entailment based segmentation for arabic text summarization (lceas);Al‐Khwaldeh F. T.;World of Computer Science and Information Technology Journal (WCSIT),2015

3. Al‐Qassem L. M. Wang D. Al‐Mahmoud Z. Barada H. Al‐Rubaie A. &Almoosa N. I.(2017). Automatic arabic summarization: A survey of methodologies and systems. InProceedings of the 3rd international conference on arabic computational linguistics(pp. 10–18). Dubai United Arab Emirates.

4. Automatic Arabic text summarization: a survey

5. Alsanie W.(2005). Towards an infrastructure for arabic text summarization using rhetorical structure theory (Unpublished master's thesis). King Saud University Riyadh Saudi Arabia.

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