An Effective Method to Identify Machine Automatically Generated Paper
- Resource Type
- Conference
- Authors
- Xiong, Jiping; Huang, Tao
- Source
- 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on. :101-102 Dec, 2009
- Subject
- Computing and Processing
Internet
Lamps
Search engines
Portals
Knowledge engineering
Books
Flowcharts
Testing
Software engineering
Educational institutions
paper generator
LAMP
openAPI
search engine
Anti-plagiarism
- Language
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.