Gyöngyösi, ErikaKovács, LászlóBednarik, László2024-09-042024-09-042013-06-01Teaching Mathematics and Computer Science, Vol. 11 No. 1 (2013) , 89-1021589-7389https://hdl.handle.net/2437/379741Automatic question generation is in the focus of recent researches which includes bordering disciplines like education, text mining, knowledge-engineering. The elaborated system generates multi-choice questions from textbooks without using an external semantic database. One of the base modules of the system is the classification module defining the extracted word. This paper describes modules of the framework including a detailed analysis of the classification part. We show the operability of the elaborated system through a practical test.application/pdfquestion generationclusteringclassificationmulti-choice questionsassessmentDevelopment of classification module for automated question generation frameworkfolyóiratcikkOpen AccessErika Gyöngyösi, László Kovács and László Bednarikhttps://doi.org/10.5485/TMCS.2013.0333Teaching Mathematics and Computer Science111Teach. Math. Comp. Sci.2676-8364