AdvertisementQuality flaws prediction in Wikipedia is an ongoing research trend. In particular, in this work we tackle the problem of automatically predicting five out of the ten most frequent quality flaws; namely: No footnotes, Notability, Primary Sources, Refimprove and Wikify. Different classical and deep learning state-of-the-art approaches were studied. From among the evaluated approaches, some of them always reach or improve the existing benchmarks on the test corpus from the  International Competition on Quality Flaw Prediction in Wikipedia; a well-known uniform evaluation...…AdvertisementQuality flaws prediction in Wikipedia is an ongoing research trend. In particular, in this work we tackle the problem of automatically predicting five out of the ten most frequent quality flaws; namely: No footnotes, Notability, Primary Sources, Refimprove and Wikify. Different classical and deep learning state-of-the-art approaches were studied. From among the evaluated approaches, some of them always reach or improve the existing benchmarks on the test corpus from the  International Competition on Quality Flaw Prediction in Wikipedia; a well-known uniform evaluation...WW…