An Effective Method to Identify Machine Automatically Generated Paper

An Effective Method to Identify Machine Automatically Generated Paper

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 an...

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Bibliographische Detailangaben
Hauptverfasser: Jiping Xiong, Tao Huang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Anti-plagiarism
Educational institutions
Flowcharts
Internet
Knowledge engineering
LAMP
Lamps
openAPI
paper generator
Portals
search engine
Search engines
Software engineering
Testing
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/KESE.2009.62