Title :
Automated EA-type question generation from annotated texts
Author :
Bednarik, László ; Kovacs, László
Author_Institution :
Dept. of Inf. Technol., Univ. of Miskolc, Miskolc, Hungary
Abstract :
The field of automated question generation is an active investigated area within the development of e-learning systems. The paper gives first an overview of the main methods and then the architecture of the proposed system is presented in details. The novelty of the proposed application lies in the target language Hungarian and in the application of soft computing methods for generation of semi-synonyms as no free thesaurus is available for the target language. The last part of the paper shows an example process of test generation.
Keywords :
Internet; computer aided instruction; information retrieval; natural languages; text analysis; Hungarian language; annotated texts; automated EA-type question generation; e-learning systems; semisynonym generation; soft computing methods; test generation process; Artificial neural networks; Semantics; Software; Thesauri;
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2012 7th IEEE International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4673-1013-0
Electronic_ISBN :
978-1-4673-1012-3
DOI :
10.1109/SACI.2012.6250000
