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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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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creator	Jiping Xiong Tao Huang
description	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_str_mv	10.1109/KESE.2009.62
format	Conference Proceeding
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subjects	Anti-plagiarism Educational institutions Flowcharts Internet Knowledge engineering LAMP Lamps openAPI paper generator Portals search engine Search engines Software engineering Testing
title	An Effective Method to Identify Machine Automatically Generated Paper
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