Minimum redundancy and maximum relevance for single and multi-document Arabic text summarization

Automatic text summarization aims to produce summaries for one or more texts using machine techniques. In this paper, we propose a novel statistical summarization system for Arabic texts. Our system uses a clustering algorithm and an adapted discriminant analysis method: mRMR (minimum redundancy and...

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Bibliographic Details

Published in:	Journal of King Saud University: Computer and Information Sciences
Main Authors:	Houda Oufaida, Omar Nouali, Philippe Blache
Format:	Article
Language:	English
Published:	Springer 2014-12-01
Subjects:	Arabic text summarization Sentence extraction mRMR Minimum redundancy Maximum relevance
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157814000329