Statements (61)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Model
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Super_GLUE_benchmark
|
| gptkbp:based_on |
gptkb:Transformers_character
|
| gptkbp:developed_by |
gptkb:Allen_Institute_for_Artificial_Intelligence
|
| gptkbp:has_achievements |
performance on scientific benchmarks
|
| gptkbp:has_programs |
biomedical research
academic publishing research paper analysis |
| gptkbp:has_version |
base model
large model |
| https://www.w3.org/2000/01/rdf-schema#label |
Sci BERT
|
| gptkbp:improves |
scientific named entity recognition
scientific text classification |
| gptkbp:is_available_on |
gptkb:Hugging_Face_Model_Hub
|
| gptkbp:is_compatible_with |
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch |
| gptkbp:is_designed_for |
gptkb:literary_work
|
| gptkbp:is_documented_in |
gptkb:academic_conferences
research papers online tutorials technical reports Git Hub repositories |
| gptkbp:is_evaluated_by |
question answering
data mining sentiment analysis topic modeling information retrieval text generation text summarization text classification semantic similarity text entailment Pub Med dataset ar Xiv dataset |
| gptkbp:is_influenced_by |
gptkb:BERT
gptkb:ELECTRA Ro BER Ta |
| gptkbp:is_optimized_for |
domain-specific tasks
|
| gptkbp:is_part_of |
gptkb:BERT_family
AI frameworks AI research community NLP toolkits |
| gptkbp:is_supported_by |
universities
community contributions open-source community research institutions |
| gptkbp:is_used_by |
gptkb:physicist
data scientists machine learning practitioners |
| gptkbp:is_used_for |
natural language processing
|
| gptkbp:is_used_in |
educational purposes
industry applications commercial products |
| gptkbp:performance |
scientific NLP tasks
|
| gptkbp:published_by |
gptkb:2019
|
| gptkbp:supports |
multiple languages
|
| gptkbp:training |
masked language modeling
scientific text next sentence prediction |
| gptkbp:utilizes |
Word Piece tokenization
|