Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 15 of its 21 references that are in the map. First posted on arXiv 18 May 2023.
Builds on
15 of 21 references.
References · 15
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
- 2018XNLI: Evaluating Cross-lingual Sentence Representationscited by 915
- 2019Matching the Blanks: Distributional Similarity for Relation Learningcited by 272
- 2018FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluationcited by 254
- 2021Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Modelscited by 132
- 2020CrossNER: Evaluating Cross-Domain Named Entity Recognitioncited by 104
- 2019FewRel 2.0: Towards More Challenging Few-Shot Relation Classificationcited by 94
- 2022Frustratingly Easy Label Projection for Cross-lingual Transfercited by 33
- 2021Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemescited by 27
- 2022CrossRE: A Cross-Domain Dataset for Relation Extractioncited by 21
- 2022What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classificationcited by 17
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Citing papers per year: 2024: 2; 2025: 3.
5 papers.
- 2025M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysiscited by 9
- 2024M2QA: Multi-domain Multilingual Question Answeringcited by 5
- 2025Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotationscited by 1
- 2025A systematic review of relation extraction task since the emergence of Transformerscited by 1
- 2024Translation of Multifaceted Data without Re-Training of Machine Translation Systemscited by 0
- 2025A systematic review of relation extraction task since the emergence of Transformers5 Nov 2025
- 2025M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis17 Feb 2025
- 2025Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotations10 Jan 2025
- 2024M2QA: Multi-domain Multilingual Question Answering1 Jul 2024
- 2024Translation of Multifaceted Data without Re-Training of Machine Translation Systems25 Apr 2024