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.
@article{arxiv.1908.05111,
title = {X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension},
author = {Mostafa Abdou and Cezar Sas and Rahul Aralikatte and Isabelle Augenstein and Anders Søgaard},
journal= {arXiv preprint arXiv:1908.05111},
year = {2019}
}