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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa |
| Publisher | University of Tartu Library |
| Publication date | 2023 |
| Pages | 80 - 85 |
| Publication status | Published - 2023 |
| Event | Nordic Conference on Computational Linguistics - Tórshavn, Faroe Islands Duration: 22 May 2023 → 24 May 2023 Conference number: 24 https://www.nodalida2023.fo/ |
Conference
| Conference | Nordic Conference on Computational Linguistics |
|---|---|
| Number | 24 |
| Country/Territory | Faroe Islands |
| City | Tórshavn |
| Period | 22/05/2023 → 24/05/2023 |
| Internet address |
Keywords
- Relation Extraction
- Multi-lingual Dataset
- Machine Translation
- CrossRE
- Text Domains
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