---
title: README
emoji: 🧑🏻‍⚕️
colorFrom: blue
colorTo: green
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pinned: false
---

MedSpaNER is an [information extraction tool for Spanish medical texts](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-024-05949-6).

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](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-024-05949-6). *BMC Bioinformatics* 26, 7. [https://doi.org/10.1186/s12859-024-05949-6](https://doi.org/10.1186/s12859-024-05949-6)