Amal E. Aboutabl

Work place: Computer Science Dept., Faculty of Computers & Information, Helwan University, Egypt



Research Interests: Parallel Computing, Computing Platform, Data Structures and Algorithms


Amal E. Aboutabl is currently an Associate Professor at the Computer Science Department, Faculty of Computers and Information, Helwan University, Cairo, Egypt. She received her B.Sc. in Computer Science from the American University in Cairo and both of her M.Sc. and Ph.D. in Computer Science from Cairo University. She worked for IBM and ICL in Egypt for seven years. She was also a Fulbright Scholar at the Department of Computer Science, University of Virginia, USA in 2009. Her current research interests include parallel computing, performance evaluation and text processing.

Author Articles
Semantic Question Generation Using Artificial Immunity

By Ibrahim E. Fattoh Amal E. Aboutabl Mohamed H. Haggag

DOI:, Pub. Date: 8 Jan. 2015

This research proposes an automatic question generation model for evaluating the understanding of semantic attributes in a sentence. The Semantic Role Labeling and Named Entity Recognition are used as a preprocessing step to convert the input sentence into a semantic pattern. The Artificial Immune System is used to build a classifier that will be able to classify the patterns according to the question type in the training phase. The question types considered here are the set of WH-questions like who, when, where, why, and how. A pattern matching phase is applied for selecting the best matching question pattern for the test sentence. The proposed model is tested against a set of sentences obtained from many sources such as the TREC 2007 dataset for question answering, Wikipedia articles, and English book of grade II preparatory. The experimental results of the proposed model are promising in determining the question type with classification accuracy reaching 95%, and 87% in generating the new question patterns.

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