Abstract
Most research in Relation Extraction (RE) involves the English language, mainly due to the lack of multi-lingual resources. We propose Multi-CrossRE, the broadest multi-lingual dataset for RE, including 26 languages in addition to English, and covering six text domains. Multi-CrossRE is a machine translated version of CrossRE (Bassignana and Plank, 2022), with a sub-portion including more than 200 sentences in seven diverse languages checked by native speakers. We run a baseline model over the 26 new datasets and–as sanity check–over the 26 back-translations to English. Results on the back-translated data are consistent with the ones on the original English CrossRE, indicating high quality of the translation and the resulting dataset.
Originalsprog | Engelsk |
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Titel | Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa |
Forlag | University of Tartu Library |
Publikationsdato | 2023 |
Sider | 80 - 85 |
Status | Udgivet - 2023 |
Emneord
- Relation Extraction
- Multi-lingual Dataset
- Machine Translation
- CrossRE
- Text Domains