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BSC-NLP4BIA
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DT4H_XLM-R_stl_multilingual_disease

Token Classification
Transformers
Safetensors
xlm-roberta
ner
named-entity-recognition
clinical-ner
biomedical-ner
multilingual
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@@ -45,7 +45,7 @@ This **multilingual clinical Named Entity Recognition (NER)** model is designed
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  - English (`en`)
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  - Dutch (`nl`)
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  - Swedish (`sv`)
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- - Czech (`cz`)
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  - **Base model:** `xlm-roberta-base`
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  - **Task:** Token classification (NER)
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  - **Label scheme:** BIO
@@ -89,8 +89,8 @@ To facilitate this process, we provide an inference script in a [GitHub reposito
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  - Exports predictions as a TSV file in the format required for the [MultiClinAI evaluation library](https://github.com/nlp4bia-bsc/MultiClinAIEval):
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  ```text
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- filename label start_span end_span text
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- MultiClinNER-en-test-disease-00019 DISEASE 154 165 myocarditis
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  ```
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  ## Limitations and bias
 
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  - English (`en`)
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  - Dutch (`nl`)
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  - Swedish (`sv`)
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+ - Czech (`cs`)
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  - **Base model:** `xlm-roberta-base`
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  - **Task:** Token classification (NER)
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  - **Label scheme:** BIO
 
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  - Exports predictions as a TSV file in the format required for the [MultiClinAI evaluation library](https://github.com/nlp4bia-bsc/MultiClinAIEval):
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  ```text
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+ filename label start_span end_span text
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+ MultiClinNER-en-test-disease-00019 DISEASE 154 165 myocarditis
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  ```
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  ## Limitations and bias