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International Conference on Intelligent Systems Design and Applications

ISDA 2018 2018: Intelligent Systems Design and Applications pp 381–391Cite as

Intelligent Analysis in Question Answering System Based on an Arabic Temporal Resource

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 941))

Abstract

In this article, we present the overall structure of our specific system for generating answers of temporal questions based on Arabic temporal resource, called Ar-TQAS (Arabic Temporal Question Answering System). This system deals with answering temporal questions involving several forms of inference to obtain a relevant answer. The Ar-TQAS system was built and the experiments showed good results with an accuracy of 72%.

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Author information

Authors and Affiliations

  1. Faculty of Economics and Management, Computer Department, Miracl Laboratory, University of Sfax, Sfax, Tunisia

    Mayssa Mtibaa, Zeineb Neji, Mariem Ellouze & Lamia Hadrich Belguith

Authors
  1. Mayssa Mtibaa
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  2. Zeineb Neji
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  3. Mariem Ellouze
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  4. Lamia Hadrich Belguith
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Corresponding author

Correspondence to Mayssa Mtibaa .

Editor information

Editors and Affiliations

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

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

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

    Niketa Gandhi

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Mtibaa, M., Neji, Z., Ellouze, M., Hadrich Belguith, L. (2020). Intelligent Analysis in Question Answering System Based on an Arabic Temporal Resource. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_38

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