• 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