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Arabic Logic Textual Entailment with Feature Extraction and Combination

  • Mabrouka Ben-sghaierEmail author
  • Wided Bakari
  • Mahmoud Neji
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

Recognizing textual entailment Arabic language Question-answering system Logic representation Ar-SLoTE 

Notes

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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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Mabrouka Ben-sghaier
    • 1
    Email author
  • Wided Bakari
    • 1
    • 2
  • Mahmoud Neji
    • 2
  1. 1.Faculty of Economics and ManagementSfaxTunisia
  2. 2.MIR@CLSfaxTunisia

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