PlanTL-GOB-ES/es_cantemist_ner_trf

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. Visit our GitHub repository. This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL

Feature	Description
Name	es_cantemist_ner_trf
Version	3.4.0
spaCy	>=3.4.0,<3.5.0
Default Pipeline	transformer, ner
Components	transformer, ner
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	https://huggingface.co/datasets/PlanTL-GOB-ES/cantemist-ner
License	[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)
Author	The Text Mining Unit from Barcelona Supercomputing Center.
Copyright	Copyright by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) (2022)
Funding	This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL

Label Scheme

View label scheme (1 labels for 1 components)

Component	Labels
ner	MORFOLOGIA_NEOPLASIA

Accuracy

Type	Score
ENTS_F	84.52
ENTS_P	84.88
ENTS_R	84.16
TRANSFORMER_LOSS	25646.78
NER_LOSS	9622.84