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README.md
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| Feature | Description |
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| --- | --- |
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---
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tags:
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- spacy
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- token-classification
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language:
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- es
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license: gpl-3.0
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model-index:
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- name: es_cantemist_ner_trf
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results:
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- task:
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name: NER
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type: token-classification
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metrics:
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- name: NER Precision
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type: precision
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value: 0.8487622923
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- name: NER Recall
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type: recall
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value: 0.8416274378
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- name: NER F Score
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type: f_score
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value: 0.8451798075
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widget:
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- text: "Se realizó una ecobroncoscopia lineal con toma de biopsia de adenopatía subcarinal ."
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- text: "JUICIO DIAGNÓSTICO Encefalitis límbica y polineuropatía sensitiva paraneoplásicas secundarias a carcinoma microcítico de pulmón cTxN2 M0 (enfermedad limitada) ."
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---
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Basic Spacy BioNER pipeline, with a RoBERTa-based model [bsc-bio-ehr-es] (https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) and a dataset, CANTEMIST, annotated with tumour morphology entities. For further information, check the [official website](https://temu.bsc.es/cantemist/). Visit our [GitHub repository](https://github.com/PlanTL-GOB-ES/lm-biomedical-clinical-es). This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL
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| Feature | Description |
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| --- | --- |
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