Arabic Question Classification using Deep Learning

Author:

Balla Husamelddin1,Salvador Marisa Llorens1,Delany Sarah Jane1

Affiliation:

1. School of Computer Science, Technological University Dublin, Ireland

Publisher

ACM

Reference48 articles.

1. Exam questions classification based on Bloom’s taxonomy cognitive level using classifiers combination;Abduljabbar Dhuha Abdulhadi;Journal of Theoretical and Applied Information Technology,2015

2. Waheeb Ahmed and Babu Anto . 2016. Classification of Arabic questions using multinomial naive Bayes and support vector machines . International Journal of Latest Trends In Engineering And Technology ( 2016 ), 82–86. Waheeb Ahmed and Babu Anto. 2016. Classification of Arabic questions using multinomial naive Bayes and support vector machines. International Journal of Latest Trends In Engineering And Technology (2016), 82–86.

3. Answer extraction for how and why questions in question answering systems;Ahmed Waheeb;International Journal of Computational Engineering Research (IJCER),2016

4. Hani Maluf Al Chalabi , Santosh Kumar Ray , and Khaled Shaalan . 2015 . Question classification for Arabic question answering systems . In 2015 International Conference on Information and Communication Technology Research (ICTRC). IEEE, 310–313 . Hani Maluf Al Chalabi, Santosh Kumar Ray, and Khaled Shaalan. 2015. Question classification for Arabic question answering systems. In 2015 International Conference on Information and Communication Technology Research (ICTRC). IEEE, 310–313.

5. An evaluation of final examinations questions according to Bloom’s classification of cognitive aims;Al-Mzoughi IS;Sabratha Univ. Sci. J.,2018

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1. Deciphering Arabic question: a dedicated survey on Arabic question analysis methods, challenges, limitations and future pathways;Artificial Intelligence Review;2024-08-13

2. FarCQA: A Farsi Community Dataset for Question Classification and Answer Selection;2023 13th International Conference on Computer and Knowledge Engineering (ICCKE);2023-11-01

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