|
gptkbp:instance_of
|
gptkb:Model
|
|
gptkbp:architecture
|
gptkb:Transformers
|
|
gptkbp:available_in
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:based_on
|
BERT architecture
|
|
gptkbp:community_support
|
active
|
|
gptkbp:developed_by
|
gptkb:Google
|
|
gptkbp:evaluates
|
F1 score
accuracy
|
|
gptkbp:field_of_study
|
gptkb:Artificial_Intelligence
bioinformatics
computational biology
|
|
gptkbp:has_achieved
|
state-of-the-art performance
|
|
gptkbp:has_website
|
gptkb:pharmaceuticals
healthcare
clinical research
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Bio BERT-Large
|
|
gptkbp:influenced_by
|
gptkb:BERT
|
|
gptkbp:input_output
|
gptkb:text
predictions
|
|
gptkbp:is_trained_in
|
biomedical literature
|
|
gptkbp:language
|
English
|
|
gptkbp:license
|
Apache License 2.0
|
|
gptkbp:orbital_period
|
345 million
|
|
gptkbp:performance
|
gptkb:Bio_ASQ
gptkb:SQu_AD
NER datasets
|
|
gptkbp:provides_information_on
|
PMC full-text articles
Pub Med abstracts
|
|
gptkbp:related_to
|
gptkb:machine_learning
gptkb:NLP
deep learning
|
|
gptkbp:release_date
|
gptkb:2019
|
|
gptkbp:repository
|
gptkb:Git_Hub
|
|
gptkbp:tuning
|
question answering
named entity recognition
relation extraction
|
|
gptkbp:use_case
|
drug discovery
literature review
data mining
biomedical research
information retrieval
healthcare analytics
clinical decision support
text classification
medical coding
patient data analysis
clinical trial matching
|
|
gptkbp:used_for
|
biomedical text mining
|
|
gptkbp:bfsParent
|
gptkb:Bio_BERT
|
|
gptkbp:bfsLayer
|
6
|