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README.md

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 Natural products represent a large pool of bioactive compounds of high interest in drug-discovery. However, these relationships are sparsely distributed across organisms and a growing part
 of the literature remains unannotated. This volume necessitates the development of a machine assistant to boost the completion of existing resources. Framing the task as an
-end-to-end Relation Extraction (RE), we propose a new **BioMistrAL** model fined-tuned on synthetic data. See details about this procedure in the join [article](https://arxiv.org/abs/2311.06364).
+end-to-end Relation Extraction (RE), we propose a new **BioMistraL** model fined-tuned on synthetic data. See details about this procedure in the join [article](https://arxiv.org/abs/2311.06364).
 
 The model is a derived from [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B) and was trained on a synthetic dataset generated with [Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1).