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8173542
{
"lang":"es",
"name":"cantemist_ner_trf",
"version":"3.4.0",
"description":"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 tumor 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",
"author":"The Text Mining Unit from Barcelona Supercomputing Center.",
"email":"plantl-gob-es@bsc.es",
"url":"https://huggingface.co/PlanTL-GOB-ES",
"license":"[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)",
"spacy_version":">=3.4.0,<3.5.0",
"spacy_git_version":"Unknown",
"vectors":{
"width":0,
"vectors":0,
"keys":0,
"name":null
},
"labels":{
"transformer":[
],
"ner":[
"MORFOLOGIA_NEOPLASIA"
]
},
"pipeline":[
"transformer",
"ner"
],
"components":[
"transformer",
"ner"
],
"disabled":[
],
"performance":{
"ents_f":0.8451798075,
"ents_p":0.8487622923,
"ents_r":0.8416274378,
"ents_per_type":{
"MORFOLOGIA_NEOPLASIA":{
"p":0.8487622923,
"r":0.8416274378,
"f":0.8451798075
}
},
"transformer_loss":256.4677646511,
"ner_loss":96.2283862055
},
"requirements":[
"spacy-transformers>=1.1.8,<1.2.0"
]
}