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Arabic Logic Textual Entailment with Feature Extraction and Combination

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Intelligent Systems Design and Applications (ISDA 2018 2018)

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

Abstract

Determining the textual entailment between texts is important in many NLP tasks, such as, question-answering, summarization, and information retrieval, etc. In question-answering, this technique is frequently used to validate an answer retrieved by a question-answering system. In this paper, we address the problem of textual entailment in Arabic. We employ some features to determine the textual entailment between pairs of logical representations of a question and a passage of text. We have implemented our approach in an Arabic recognizing textual entailment system called Ar-SLoTE (Arabic Semantic Logic based Textual Entailment). The experiments results of the entailments classification achieved a precision and a recall successively equal to 73% and 68% on average.

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Acknowledgements

I give my sincere thanks for my collaborators Professor Mahmoud NEJI and Doctor Wided BAKARI (University of Sfax-Tunisia) that i have benefited greatly by working with them.

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Authors and Affiliations

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

    Mabrouka Ben-sghaier & Wided Bakari

  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 author

Correspondence to Mabrouka Ben-sghaier .

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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Ben-sghaier, M., Bakari, W., Neji, M. (2020). Arabic Logic Textual Entailment with Feature Extraction and Combination. 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_40

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