X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Dokumenter
- OA-X-WikiRE
Forlagets udgivne version, 1,87 MB, PDF-dokument
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.
Originalsprog | Engelsk |
---|---|
Titel | Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) |
Forlag | Association for Computational Linguistics |
Publikationsdato | 2019 |
Sider | 265-274 |
DOI | |
Status | Udgivet - 2019 |
Begivenhed | 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) - Hong Kong, China Varighed: 1 nov. 2019 → 1 nov. 2019 |
Konference
Konference | 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) |
---|---|
Lokation | Hong Kong, China |
Periode | 01/11/2019 → 01/11/2019 |
Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk
Ingen data tilgængelig
ID: 239861905