• DocumentCode
    3598314
  • Title

    An Effective Method to Identify Machine Automatically Generated Paper

  • Author

    Xiong, Jiping ; Huang, Tao

  • Author_Institution
    Coll. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
  • fYear
    2009
  • Firstpage
    101
  • Lastpage
    102
  • Abstract
    How to identify a machine automatically generated paper is an active research direction. It is involved in machine learning and semantic understanding. However in this paper, we introduce a simple but effective method to quickly identify whether a paper is from a paper generator or not. We design and implement the detection system using LAMP, and Yahoo Boss OpenAPI interface. Experimental result shows that our method is useful to detect faked paper and can be easily adapted to other related work.
  • Keywords
    application program interfaces; learning (artificial intelligence); LAMP; Yahoo Boss OpenAPI interface; active research direction; detection system; machine learning; paper generator; Books; Educational institutions; Flowcharts; Internet; Knowledge engineering; Lamps; Portals; Search engines; Software engineering; Testing; Anti-plagiarism; LAMP; openAPI; paper generator; search engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on
  • Print_ISBN
    978-0-7695-3916-4
  • Type

    conf

  • DOI
    10.1109/KESE.2009.62
  • Filename
    5383611