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An Arabic Question-Answering System Combining a Semantic and Logical Representation of Texts

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Intelligent Systems Design and Applications (ISDA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 736))

Abstract

In this paper, we present the overall structure of our specific system for generating answers of questions in Arabic, named NArQAS (New Arabic Question Answering System). This system aims to develop and evaluate the contribution of the use of reasoning procedures, natural language processing techniques and the recognizing textual entailment technology to develop precise answers to natural language questions. We also detail its operating architecture. In particular, our system is seen as a contribution, rather than a rival, to traditional systems focused on approaches extensively used information retrieval and natural language processing techniques. Thus, we present the evaluation of the outputs of each of these components based on a collection of questions and texts retrieved from the Web. NArQAS system was built and experiments showed good results with an accuracy of 68% for answering factual questions from the Web.

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Author information

Authors and Affiliations

  1. Faculty of Economics and Management, 3018, Sfax, Tunisia

    Mabrouka Ben-Sghaier, Wided Bakari & Mahmoud Neji

  2. MIR@CL, Sfax, Tunisia

    Wided Bakari & Mahmoud Neji

Authors
  1. Mabrouka Ben-Sghaier
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  2. Wided Bakari
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  3. Mahmoud Neji
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Corresponding authors

Correspondence to Mabrouka Ben-Sghaier or Wided Bakari .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs , Auburn, Washington, USA

    Ajith Abraham

  2. Department of Computer Science, South Asian University, Chanakyapuri, Delhi, India

    Pranab Kr. Muhuri

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka , Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs , Auburn, Washington, USA

    Niketa Gandhi

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Ben-Sghaier, M., Bakari, W., Neji, M. (2018). An Arabic Question-Answering System Combining a Semantic and Logical Representation of Texts. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_71

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  • DOI: https://doi.org/10.1007/978-3-319-76348-4_71

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76347-7

  • Online ISBN: 978-3-319-76348-4

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