Statements (65)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Model
|
| gptkbp:based_on |
BERT architecture
|
| gptkbp:community_support |
active
|
| gptkbp:contributed_to |
knowledge discovery
|
| gptkbp:developed_by |
gptkb:Job_Search_Engine
|
| gptkbp:enables |
automated literature review
|
| gptkbp:enhances |
clinical decision support
|
| gptkbp:facilitates |
data analysis
|
| gptkbp:has_achievements |
state-of-the-art performance
|
| gptkbp:has_programs |
clinical trials
drug discovery genomics healthcare analytics patient management health informatics proteomics medical coding disease prediction treatment recommendation |
| gptkbp:has_website |
gptkb:drug
healthcare clinical research |
| https://www.w3.org/2000/01/rdf-schema#label |
Bio BERT-Base
|
| gptkbp:improves |
biomedical research efficiency
|
| gptkbp:input_output |
gptkb:Graphics_Processing_Unit
gptkb:poet text file embeddings |
| gptkbp:integrates_with |
other AI models
|
| gptkbp:is_available_on |
gptkb:archive
|
| gptkbp:is_evaluated_by |
gptkb:Bio_Creative
gptkb:municipality precision Bio NLP NER datasets |
| gptkbp:is_used_for |
biomedical text mining
|
| gptkbp:language |
English
|
| gptkbp:license |
Apache License 2.0
|
| gptkbp:performance |
F1 score
accuracy |
| gptkbp:promotes |
personalized medicine
|
| gptkbp:provides_information_on |
PMC full-text articles
Pub Med abstracts |
| gptkbp:related_model |
110 million parameters
|
| gptkbp:related_to |
gptkb:Artificial_Intelligence
gptkb:software_framework deep learning natural language processing data mining information retrieval semantic search transfer learning text classification |
| gptkbp:release_date |
gptkb:2019
|
| gptkbp:supports |
multi-task learning
open-source development |
| gptkbp:training |
supervised learning
unsupervised learning biomedical literature |
| gptkbp:tuning |
question answering
named entity recognition relation extraction |
| gptkbp:uses |
gptkb:Transformers_character
|
| gptkbp:bfsParent |
gptkb:Bio_BERT
|
| gptkbp:bfsLayer |
5
|