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We propose an edit-centric approach to assess Wikipedia article quality as acomplementary alternative to current full document-based techniques. Our modelconsists of a main classifier equipped with an auxiliary generative modulewhich, for a given edit, jointly provides an estimation of its quality andgenerates a description in natural language. We performed an empirical study toassess the feasibility of the proposed model and its cost-effectiveness interms of data and quality requirements.

An Edit-centric Approach for Wikipedia Article Quality Assessment