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TALAA-ATSF: A Global Operation-Based Arabic Text Summarization Framework

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Intelligent Natural Language Processing: Trends and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 740))

Abstract

Text summarization is one of the most challenging and difficult tasks in natural language processing, and artificial intelligence more generally. Various approaches have been proposed in the literature. Text summarization is classified into two categories: extractive text summarization and abstractive text summarization. The vast majority of work in the literature followed the extractive approach, probably due to the complexity of the abstractive one. To the best of our knowledge, the work presented here is the first work on Arabic that handles both the extractive and abstractive aspects. Indeed, while the literature lacks summarization frameworks that allow the integration of various operations within the same system, this work proposes a novel approach where we design a general framework which integrates several operations within the same system. It also provides a mechanism that allows the assignment of the suitable operation to each portion of the source text which is to be summarized, and this is achieved in an iterative process.

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Notes

  1. 1.

    In the remainder of this paper, whenever we use the term “operation(s)” it will obviously stand for “summarization operation(s)”.

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Authors and Affiliations

  1. Natural Language Processing and Machine Learning Research Group, Laboratory for Research in Artificial Intelligence, Computer Science Department, University of Science and Technology Houari Boumediene (USTHB), BP 32 El-Alia, 16111, Bab Ezzouar, Algiers, Algeria

    Riadh Belkebir & Ahmed Guessoum

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  1. Riadh Belkebir
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  2. Ahmed Guessoum
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Correspondence to Riadh Belkebir or Ahmed Guessoum .

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  1. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  2. Faculty of Computers and Information Technology, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  3. Faculty of Computers and Information, Ain Shams University, Cairo, Egypt

    Fahmy Tolba

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Belkebir, R., Guessoum, A. (2018). TALAA-ATSF: A Global Operation-Based Arabic Text Summarization Framework. In: Shaalan, K., Hassanien, A., Tolba, F. (eds) Intelligent Natural Language Processing: Trends and Applications. Studies in Computational Intelligence, vol 740. Springer, Cham. https://doi.org/10.1007/978-3-319-67056-0_21

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