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BSC-NLP4BIA
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biomedical-term-classifier

Text Classification
sentence-transformers
PyTorch
Spanish
roberta
bert
biomedical
lexical semantics
bionlp
Model card Files
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@@ -57,12 +57,12 @@ Mediante biopsia se diagnostica adenocarcinoma de pr贸stata Gleason 4+4=8 con me
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  Se trata con 脕cido Zoledr贸nico 4 mg iv/4 semanas.
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  """
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  termextractor(text)
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- # You can also access the class storing the SetFit model
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  categorizer = termextractor.categorizer
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  ```
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  ## Training
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- The model has been trained using data obtained from NER Gold Standard Corpora also generated by BSC-NLP4BIA, including [MedProcNER](https://temu.bsc.es/medprocner/), [DISTEMIST](https://temu.bsc.es/distemist/), [SympTEMIST](https://temu.bsc.es/symptemist/), [CANTEMIST](https://temu.bsc.es/cantemist/), and [PharmaCoNER](https://temu.bsc.es/pharmaconer/), among others.
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  ## Evaluation
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  To be published
 
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  Se trata con 脕cido Zoledr贸nico 4 mg iv/4 semanas.
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  """
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  termextractor(text)
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+ # You can also access the class storing the Transformer model
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  categorizer = termextractor.categorizer
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  ```
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  ## Training
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+ The used pre-trained model is SapBERT-from-roberta-base-biomedical-clinical-es from the BSC-NLP4BIA reserch group. The model has been trained using data obtained from NER Gold Standard Corpora also generated by BSC-NLP4BIA, including [MedProcNER](https://temu.bsc.es/medprocner/), [DISTEMIST](https://temu.bsc.es/distemist/), [SympTEMIST](https://temu.bsc.es/symptemist/), [CANTEMIST](https://temu.bsc.es/cantemist/), and [PharmaCoNER](https://temu.bsc.es/pharmaconer/), among others.
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  ## Evaluation
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  To be published