X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension
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Documents
- OA-X-WikiRE
Final published version, 1.87 MB, PDF document
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.
Original language | English |
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Title of host publication | Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) |
Publisher | Association for Computational Linguistics |
Publication date | 2019 |
Pages | 265-274 |
DOIs | |
Publication status | Published - 2019 |
Event | 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) - Hong Kong, China Duration: 1 Nov 2019 → 1 Nov 2019 |
Conference
Conference | 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) |
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Location | Hong Kong, China |
Periode | 01/11/2019 → 01/11/2019 |
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