• DocumentCode
    3034371
  • Title

    Research on feature selection in automated writing assessment system

  • Author

    Li, Chao ; Tan, Yongmei ; Wang, Mingtao ; Zhong, Yixin

  • Author_Institution
    Center for Intell. Sci. & Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    5495
  • Lastpage
    5498
  • Abstract
    Automated writing assessment system which uses artificial intelligence to evaluate essays and generate feedback. We designed and developed an automated writing assessment system Not only words and phrases but also dependency triples are used to evaluate the content of the essays from long distance. Users can learn English from the feedbacks given by our system because it gives a detailed explanation of errors. Currently College English Test (CET) has been accepted by society and used as one of the assessment in employment. We did a lot of feature selection experiments on the official CET data and found 26 feature types were contributed to essays assessing. Experimental results provided our method was prominent.
  • Keywords
    artificial intelligence; computer aided instruction; feature extraction; feedback; natural language processing; rewriting systems; CET; College English Test; artificial intelligence; automated writing assessment system; essays assessing; feature selection; feedback; Artificial intelligence; Educational institutions; Linear regression; Logistics; Telecommunications; Writing; Statistical Product and Service Solutions; feature selection; writing assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002289
  • Filename
    6002289