---
language: es
license: apache-2.0  
tags:
  - sentence-similarity
  - embeddings
datasets:
  - sympTEMIST
metrics:
  - top-k-accuracy
model-index:
  - name: "Bi-encoder for SympTEMIST"
    results:
      - task:
          name: Sentence Similarity
          type: sentence-similarity
        dataset:
          name: "SympTEMIST"
          type: sympTEMIST
        metrics:
           - name: top-k-accuracy
             type: top-k-accuracy
             values:
               - { k: 1, value: 0.580 }
               - { k: 5, value: 0.724 }
               - { k: 25, value: 0.831 }
               - { k: 50, value: 0.860 }
               - { k: 100, value: 0.883 }
               - { k: 200, value: 0.902 }
---

# Welcome to ICB-UMA's Repository on Hugging Face

**ICB-UMA (Intelligent Computational Biomedicine at University of Málaga)** is a research group dedicated to applying advanced artificial intelligence and natural language processing techniques in the field of biomedicine.

## Our Focus
We specialize in:
- Natural Language Processing (NLP)
- Data De-identification in Medical Information
- Medical Entity Recognition and Linkage

## Contribute
Explore our models and tools. Contributions are welcome!

## Contact
For more information, visit our website: [ICB-UMA](https://www.icb.uma.es/)

## GitHub
Check out our projects on GitHub: [ICB-UMA GitHub](https://github.com/ICB-UMA)