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Attention-Based Vandalism Detection in OpenStreetMap. (arXiv:2201.10406v1 [cs.LG])
Jan. 26, 2022, 2:11 a.m. | Nicolas Tempelmeier, Elena Demidova
cs.LG updates on arXiv.org arxiv.org
OpenStreetMap (OSM), a collaborative, crowdsourced Web map, is a unique
source of openly available worldwide map data, increasingly adopted in Web
applications. Vandalism detection is a critical task to support trust and
maintain OSM transparency. This task is remarkably challenging due to the large
scale of the dataset, the sheer number of contributors, various vandalism
forms, and the lack of annotated data. This paper presents Ovid - a novel
attention-based method for vandalism detection in OSM. Ovid relies on a …
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