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--- |
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language: es |
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license: apache-2.0 |
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tags: |
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- sentence-similarity |
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- embeddings |
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datasets: |
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- sympTEMIST |
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metrics: |
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- top-k-accuracy |
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model-index: |
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- name: "Bi-encoder for SympTEMIST" |
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results: |
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- task: |
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name: Sentence Similarity |
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type: sentence-similarity |
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dataset: |
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name: "SympTEMIST" |
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type: sympTEMIST |
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metrics: |
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- name: top-k-accuracy |
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type: top-k-accuracy |
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values: |
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- { k: 1, value: 0.580 } |
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- { k: 5, value: 0.724 } |
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- { k: 25, value: 0.831 } |
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- { k: 50, value: 0.860 } |
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- { k: 100, value: 0.883 } |
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- { k: 200, value: 0.902 } |
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--- |
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# Welcome to ICB-UMA's Repository on Hugging Face |
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**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. |
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## Our Focus |
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We specialize in: |
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- Natural Language Processing (NLP) |
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- Data De-identification in Medical Information |
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- Medical Entity Recognition and Linkage |
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## Contribute |
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Explore our models and tools. Contributions are welcome! |
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## Contact |
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For more information, visit our website: [ICB-UMA](https://www.icb.uma.es/) |
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## GitHub |
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Check out our projects on GitHub: [ICB-UMA GitHub](https://github.com/ICB-UMA) |
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