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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)
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