An Effective Method to Identify Machine Automatically Generated Paper

  • Authors:
  • Jiping Xiong;Tao Huang

  • Affiliations:
  • -;-

  • Venue:
  • KESE '09 Proceedings of the 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering
  • Year:
  • 2009

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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.