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

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  • 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 languageEnglish
Title of host publicationProceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
PublisherAssociation for Computational Linguistics
Publication date2019
Pages265-274
DOIs
Publication statusPublished - 2019
Event2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) - Hong Kong, China
Duration: 1 Nov 20191 Nov 2019

Conference

Conference2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
LocationHong Kong, China
Periode01/11/201901/11/2019

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