metadata
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: 0.58
- k: 5
value: 0.724
- k: 25
value: 0.831
- k: 50
value: 0.86
- 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
GitHub
Check out our projects on GitHub: ICB-UMA GitHub