Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction
Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, Barbara Plank
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.- Anthology ID:
- 2023.nodalida-1.9
- Volume:
- Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
- Month:
- May
- Year:
- 2023
- Address:
- Tórshavn, Faroe Islands
- Editors:
- Tanel Alumäe, Mark Fishel
- Venue:
- NoDaLiDa
- SIG:
- Publisher:
- University of Tartu Library
- Note:
- Pages:
- 80–85
- Language:
- URL:
- https://aclanthology.org/2023.nodalida-1.9
- DOI:
- Cite (ACL):
- Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, and Barbara Plank. 2023. Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), pages 80–85, Tórshavn, Faroe Islands. University of Tartu Library.
- Cite (Informal):
- Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction (Bassignana et al., NoDaLiDa 2023)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/2023.nodalida-1.9.pdf