  Although the vast majority of knowledge bases KBs are heavily biased towards
English, Wikipedias do cover very different topics in different languages.
Exploiting this, we introduce a new multilingual dataset (X-WikiRE), framing
relation extraction as a multilingual machine reading problem. We show that by
leveraging this resource it is possible to robustly transfer models
cross-lingually and that multilingual support significantly improves
(zero-shot) relation extraction, enabling the population of low-resourced KBs
from their well-populated counterparts.
