Towards Machine Comprehension of Arabic Text

Ahmad Magdy Eid, Nagwa El-Makky, Khaled Nagi

2019

Abstract

Machine Comprehension (MC) is a novel task of question answering (QA) discipline. MC tests the ability of the machine to read a text and comprehend its meaning. Deep learning in MC manages to build an end-to-end paradigm based on new neural networks to directly compute the deep semantic matching among question, answers, and the corresponding passage. Deep learning gives state-of-the-art performance results for English MC. The MC problem has not been addressed yet for the Arabic language due to the lack of Arabic MC datasets. This paper presents the first Arabic MC dataset that results from the translation of the SQuAD v1.1 dataset and applying a proposed approach that combines partial translation post-editing and semi-supervised learning. We intend to make this dataset publicly available for the research community. Furthermore, we use the resultant dataset to build an end-to-end deep learning Arabic MC models, which showed promising results.

Paper Citation

in Harvard Style

Eid A., El-Makky N. and Nagi K. (2019). Towards Machine Comprehension of Arabic Text. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR; ISBN 978-989-758-382-7, SciTePress, pages 282-288. DOI: 10.5220/0008065402820288

in Bibtex Style

@conference{kdir19,
author={Ahmad Magdy Eid and Nagwa El-Makky and Khaled Nagi},
title={Towards Machine Comprehension of Arabic Text},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR},
year={2019},
pages={282-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008065402820288},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR
TI - Towards Machine Comprehension of Arabic Text
SN - 978-989-758-382-7
AU - Eid A.
AU - El-Makky N.
AU - Nagi K.
PY - 2019
SP - 282
EP - 288
DO - 10.5220/0008065402820288
PB - SciTePress