Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
language model
|
| gptkbp:appearsIn |
machine translation
sentiment analysis chatbots text summarization |
| gptkbp:basedOn |
BERT
|
| gptkbp:competesWith |
GPT-3
|
| gptkbp:completed |
state-of-the-art results
|
| gptkbp:developedBy |
Baido
|
| gptkbp:enhances |
information retrieval
semantic representation |
| gptkbp:firstPublished |
2019
|
| gptkbp:hasArtStyle |
transformer
|
| gptkbp:hasCitations |
depends on training data quality
may produce biased outputs requires large computational resources |
| gptkbp:hasCollaboratedWith |
academic institutions
industry partners open-source communities |
| gptkbp:hasRelatedPatent |
dialog systems
content generation text classification named entity recognition |
| gptkbp:hasVersion |
ERNIE 2.0
ERNIE 3.0 |
| https://www.w3.org/2000/01/rdf-schema#label |
ERNIE
|
| gptkbp:improves |
question answering
text understanding |
| gptkbp:isAvailableIn |
cloud platforms
local servers |
| gptkbp:isDocumentedIn |
academic journals
technical reports white papers |
| gptkbp:isEvaluatedBy |
competitions
peer reviews benchmark datasets |
| gptkbp:isInfluencedBy |
gptkb:T5
BERT RoBERTa XLNet |
| gptkbp:isPartOf |
AI research
|
| gptkbp:isPromotedBy |
research papers
online courses tech conferences |
| gptkbp:isRelatedTo |
machine learning
deep learning AI ethics NLP_advancements |
| gptkbp:isSupportedBy |
community contributions
|
| gptkbp:isUsedBy |
developers
researchers |
| gptkbp:supports |
multi-task learning
Chinese_language |
| gptkbp:training |
large datasets
|
| gptkbp:usedFor |
natural language processing
|
| gptkbp:utilizes |
deep learning
|