A4 Refereed article in a conference publication
Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction
Authors: Bassignana Elisa, Ginter Filip, Pyysalo Sampo, Rob van der Goot, Plank Barbara
Editors: Tanel Alumäe, Mark Fishel
Conference name: Nordic Conference on Computational Linguistics
Publication year: 2023
Journal: NEALT proceedings series
Book title : Proceedings of The 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
Series title: NEALT proceedings series
Number in series: 52
First page : 80
Last page: 85
ISBN: 978-99-1621-999-7
ISSN: 1736-8197
eISSN: 1736-6305
Web address : https://aclanthology.org/2023.nodalida-1.9
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/380758650
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. MULTICROSSRE is a machine translated version of CrossRE (Bassignana and Plank, 2022a), 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.
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