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---
title: README
emoji: 🧑🏻⚕️
colorFrom: blue
colorTo: green
sdk: static
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)
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