Computer-aided generation of multiple-choice tests
HLT-NAACL-EDUC '03 Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing - Volume 2
A computer-aided environment for generating multiple-choice test items
Natural Language Engineering
FAST: an automatic generation system for grammar tests
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Experiments on Generating Questions About Facts
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
New issues and solutions in computer-aided design of MCTI and distractors selection for Bulgarian
MRTECEEL '09 Proceedings of the Workshop on Multilingual Resources, Technologies and Evaluation for Central and Eastern European Languages
Predicting cloze task quality for vocabulary training
IUNLPBEA '10 Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications
Bootstrapping multiple-choice tests with THE-MENTOR
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Is my model right? Let me ask the expert
Journal of Systems and Software
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
ArikIturri: an automatic question generator based on corpora and NLP techniques
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Automatic generation of cloze question stems
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
Mind the gap: learning to choose gaps for question generation
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Next generation of e-assessment: automatic generation of questions
International Journal of Technology Enhanced Learning
Automatic generation of tourism quiz using blogs
Artificial Life and Robotics
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An automatic generation of multiple-choice questions is one of the promising examples of educational applications of NLP techniques. A machine learning approach seems to be useful for this purpose because some of the processes can be done by classification. Using basic machine learning algorithms as Naive Bayes and K-Nearest Neighbors, we have developed a real-time system which generates questions on English grammar and vocabulary from on-line news articles. This paper describes the current version of our system and discusses some of the issues on constructing this kind of system.