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

## TL;DR

X-WikiRE is a large multilingual dataset that frames relation extraction as a machine comprehension task, enabling cross-lingual transfer and improving relation extraction for low-resource languages.

## Contribution

The paper introduces X-WikiRE, a novel multilingual dataset for relation extraction as machine comprehension, facilitating cross-lingual transfer and low-resource knowledge base population.

## Key findings

- Multilingual support enhances zero-shot relation extraction.
- Cross-lingual transfer models perform robustly across languages.
- The dataset enables population of low-resource KBs using high-resource counterparts.

## Abstract

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.