Quality Assessment of Wikipedia Articles without Feature Engineering

Quang Vinh Dang, Claudia-Lavinia Ignat
2016 Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries - JCDL '16  
As Wikipedia became the largest human knowledge repository, quality measurement of its articles received a lot of attention during the last decade. Most research efforts focused on classification of Wikipedia articles quality by using a different feature set. However, so far, no "golden feature set" was proposed. In this paper, we present a novel approach for classifying Wikipedia articles by analysing their content rather than by considering a feature set. Our approach uses recent techniques
more » ... natural language processing and deep learning, and achieved a comparable result with the state-of-the-art.
doi:10.1145/2910896.2910917 dblp:conf/jcdl/DangI16 fatcat:6curfl2yqzfv3hkqlrderksfu4