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@@ -35,19 +35,20 @@ pipeline_tag: translation
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  ---
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  # RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset
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- This a multilingual version of [REBEL](https://huggingface.co/Babelscape/rebel-large). It can be used as a standalone multulingual Relation Extraction system, or as a pretrained system to be tuned on multilingual Relation Extraction datasets.
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- mREBEL is introduced in the ACL 2023 paper [RED^{FM}: a Filtered and Multilingual Relation Extraction Dataset](https://github.com/Babelscape/rebel/blob/main/docs/). We present a new multilingual Relation Extraction dataset and train a multilingual version of REBEL which reframed Relation Extraction as a seq2seq task. The paper can be found [here](https://github.com/Babelscape/rebel/blob/main/docs/). If you use the code or model, please reference this work in your paper:
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- @inproceedings{huguet-cabot-et-al-2023-red,
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- title = "RED^{FM}: a Filtered and Multilingual Relation Extraction Dataset",
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- author = "Huguet Cabot, Pere-Llu{\'\i}s and
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  Navigli, Roberto",
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- booktitle = "ACL 2023",
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  month = jul,
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  year = "2023",
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  address = "Toronto, Canada",
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  publisher = "Association for Computational Linguistics",
 
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  }
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  The original repository for the paper can be found [here](https://github.com/Babelscape/rebel)
 
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  ---
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  # RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset
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+ This is a multilingual version of [REBEL](https://huggingface.co/Babelscape/rebel-large). It can be used as a standalone multulingual Relation Extraction system, or as a pretrained system to be tuned on multilingual Relation Extraction datasets.
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+ mREBEL is introduced in the ACL 2023 paper [RED^{FM}: a Filtered and Multilingual Relation Extraction Dataset](https://arxiv.org/abs/2306.09802). We present a new multilingual Relation Extraction dataset and train a multilingual version of REBEL which reframed Relation Extraction as a seq2seq task. The paper can be found [here](https://arxiv.org/abs/2306.09802). If you use the code or model, please reference this work in your paper:
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+ @inproceedings{huguet-cabot-et-al-2023-redfm-dataset,
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+ title = "RED$^{\rm FM}$: a Filtered and Multilingual Relation Extraction Dataset",
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+ author = "Huguet Cabot, Pere-Llu{\'\i}s and Tedeschi, Simone and Ngonga Ngomo, Axel-Cyrille and
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  Navigli, Roberto",
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+ booktitle = "Proc. of the 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023",
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  month = jul,
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  year = "2023",
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  address = "Toronto, Canada",
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  publisher = "Association for Computational Linguistics",
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+ url = "https://arxiv.org/abs/2306.09802",
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  }
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  The original repository for the paper can be found [here](https://github.com/Babelscape/rebel)