Engineering a Tool to Detect Automatically Generated Papers

Abstract. In the last decade, a number of nonsense automatically-generated scientific papers have been published, most of them were produced using probabilistic context free grammar generators. Such papers may also appear in scientific social networks or in open archives and thus bias metrics computation. This shows that there is a need for an automatic detection process to discover and remove such nonsense papers. Here, we present and compare different methods aiming at automatically classifying generated papers.

• Type: Journal
• Year: 2016
• Where: ECIR
• Authors: Minh-Tien Nguyen, Cyril Labbé
• Keywords: ECIR 2016, Information Technology