DocumentCode
2738601
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
fYear
2012
fDate
24-26 May 2012
Firstpage
191
Lastpage
195
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SACI.2012.6250000
Filename
6250000
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