M. Bader-el-den, Self-adaptive heterogeneous random forest, 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), pp.640-646, 2014.
DOI : 10.1109/AICCSA.2014.7073259

M. Bader-el-den, E. Teitei, and M. Adda, Hierarchical classification for dealing with the Class imbalance problem, 2016 International Joint Conference on Neural Networks (IJCNN), pp.3584-3591, 2016.
DOI : 10.1109/IJCNN.2016.7727660

J. Bullington, I. Endres, and M. Rahman, Open ended question classification using support vector machines, MAICS, 2007.

K. Hacioglu and W. Ward, Question classification with support vector machines and error correcting codes, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology companion volume of the Proceedings of HLT-NAACL 2003--short papers, NAACL '03, pp.28-30, 2003.
DOI : 10.3115/1073483.1073493

URL : http://dl.acm.org/ft_gateway.cfm?id=1073493&type=pdf

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann et al., The WEKA data mining software, ACM SIGKDD Explorations Newsletter, vol.11, issue.1, pp.10-18, 2009.
DOI : 10.1145/1656274.1656278

Z. Huang, M. Thint, and Z. Qin, Question classification using head words and their hypernyms, Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '08, pp.927-936, 2008.
DOI : 10.3115/1613715.1613835

URL : http://dl.acm.org/ft_gateway.cfm?id=1613835&type=pdf

X. Li, X. J. Huang, and L. D. Wu, Question classification using multiple classifiers, Proceedings of the 5th Workshop on Asian Language Resources and First Symposium on Asian Language Resources Network, 2005.

D. Metzler and W. B. Croft, Analysis of Statistical Question Classification for Fact-Based Questions, Information Retrieval, vol.10, issue.4, pp.481-504, 2005.
DOI : 10.1007/s10791-005-6995-3

URL : http://ciir.cs.umass.edu/pubfiles/ir-323.pdf

M. Mishra, V. K. Mishra, and H. Sharma, Question Classification using Semantic, Syntactic and Lexical features, International journal of Web & Semantic Technology, vol.4, issue.3, p.39, 2013.
DOI : 10.5121/ijwest.2013.4304

A. Mohasseb, M. Bader-el-den, H. Liu, and M. Cocea, Domain specific syntax based approach for text classification in machine learning context, 2017 International Conference on Machine Learning and Cybernetics (ICMLC), pp.658-663, 2017.
DOI : 10.1109/ICMLC.2017.8108983

A. Mohasseb, M. Bader-el-den, A. Kanavos, and M. Cocea, Web Queries Classification Based on the Syntactical Patterns of Search Types, International Conference on Speech and Computer, pp.809-819, 2017.
DOI : 10.1109/PCSPA.2010.40

A. Mohasseb, M. Bader-el-den, and M. Cocea, Question categorization and classification using grammar based approach. Information processing and management p, Under Review, 2018.
DOI : 10.1016/j.ipm.2018.05.001

A. Mohasseb, M. El-sayed, and K. Mahar, Automated identification of web queries using search type patterns, pp.295-304, 2014.

T. Perry, M. Bader-el-den, and S. Cooper, Imbalanced classification using genetically optimized cost sensitive classifiers, 2015 IEEE Congress on Evolutionary Computation (CEC), pp.680-687, 2015.
DOI : 10.1109/CEC.2015.7256956

T. Sagara and M. Hagiwara, Natural language neural network and its application to question-answering system, Neurocomputing, vol.142, pp.201-208, 2014.
DOI : 10.1016/j.neucom.2014.04.048

F. Ture and O. Jojic, Simple and effective question answering with recurrent neural networks. arXiv preprint arXiv:1606, p.5029, 2016.

N. Van-tu and L. Anh-cuong, Improving Question Classification by Feature Extraction and Selection, Indian Journal of Science and Technology, vol.9, issue.17, 2016.
DOI : 10.17485/ijst/2016/v9i17/93160

URL : http://www.indjst.org/index.php/indjst/article/download/93160/69652

S. J. Yen, Y. C. Wu, J. C. Yang, Y. S. Lee, C. J. Lee et al., A support vector machine-based context-ranking model for question answering, Information Sciences, vol.224, pp.77-87, 2013.
DOI : 10.1016/j.ins.2012.10.014

D. Zhang and W. S. Lee, Question classification using support vector machines, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval , SIGIR '03, pp.26-32, 2003.
DOI : 10.1145/860435.860443