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Tapping into the Power of Automatic Question Generation

by Ibrahim Eldesoky Fattoh, Amal Elsayed Aboutabl, Mohamed Hassan Haggag
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 1
Year of Publication: 2014
Authors: Ibrahim Eldesoky Fattoh, Amal Elsayed Aboutabl, Mohamed Hassan Haggag
10.5120/18035-7636

Ibrahim Eldesoky Fattoh, Amal Elsayed Aboutabl, Mohamed Hassan Haggag . Tapping into the Power of Automatic Question Generation. International Journal of Computer Applications. 103, 1 ( October 2014), 1-6. DOI=10.5120/18035-7636

@article{ 10.5120/18035-7636,
author = { Ibrahim Eldesoky Fattoh, Amal Elsayed Aboutabl, Mohamed Hassan Haggag },
title = { Tapping into the Power of Automatic Question Generation },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 1 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number1/18035-7636/ },
doi = { 10.5120/18035-7636 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:33:23.764384+05:30
%A Ibrahim Eldesoky Fattoh
%A Amal Elsayed Aboutabl
%A Mohamed Hassan Haggag
%T Tapping into the Power of Automatic Question Generation
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 1
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Question Generation (QG) is an important element of learning environments, information seeking systems, help systems, and other applications. There are a number of distinct research subfields which are concerned with the Automatic Question Generation (AQG) Systems. This research tries to have a wide look on existing automatic question generation systems, and some trials of overcoming its difficulties from different points of views.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic Question Generation Questions Taxonomy Multiple Choice Questions Entity Based Questions.

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