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
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;
Conference_Titel :
Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on
Print_ISBN :
978-0-7695-3916-4
DOI :
10.1109/KESE.2009.62
