X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension


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.

In Proceedings of the 2nd Workshop on Deep Learning for Low-Resource NLP at EMNLP