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Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction

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arxiv 2305.10985 v1 pith:BFGEH7G4 submitted 2023-05-18 cs.CL

Elisa Bassignana , Filip Ginter , Sampo Pyysalo , Rob van der Goot , Barbara Plank This is my paper · ORCID
classification cs.CL
keywords englishdatasetmulti-crossremulti-lingualcrossreextractionincludinglanguages
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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.

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