Medical Semantic Python-based Named Entity Recognizer

MedSpaNER is a sequence labeling tool for Spanish medical texts.

If you use these models, please, cite as follows:

@article{campillosetal2025,
        title = {{Hybrid natural language processing tool for semantic annotation of medical texts in Spanish}},
        author = {Campillos-Llanos, Leonardo and Valverde-Mateos, Ana and Capllonch-Carri{\'o}n, Adri{\'a}n},
        journal = {BMC Bioinformatics},
        volume = {26(7)},
        year={2025},
        doi={https://doi.org/10.1186/s12859-024-05949-6},
        publisher={BioMed Central}
}

If you use the relation extraction models and the concept normalization models, please, cite as follows:

@article{campillosetal,
        title = {{Transformer-based relation extraction and concept normalization using an annotated clinical trials corpus}},
        author = {Campillos-Llanos, Leonardo and Valverde-Mateos, Ana and Capllonch-Carri{\'o}n, Adri{\'a}n and Zakhir-Puig, Sof{\'i}a and Heras-Vicente, J{\'o}nathan},
        journal = {(Under review)},
        year={2025}
}

More information about the NER models is explained in this article:

Campillos-Llanos, L., Valverde-Mateos, A. & Capllonch-Carrión, A. (2025) Hybrid natural language processing tool for semantic annotation of medical texts in Spanish. BMC Bioinformatics 26, 7. https://doi.org/10.1186/s12859-024-05949-6