Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Transformers_character
|
| gptkbp:bfsLayer |
6
|
| gptkbp:bfsParent |
gptkb:Swin-L
|
| gptkbp:addresses |
scalability issues
|
| gptkbp:applies_to |
machine translation
sentiment analysis text summarization text classification |
| gptkbp:developed_by |
gptkb:physicist
improving performance |
| gptkbp:enhances |
long-range dependencies
|
| https://www.w3.org/2000/01/rdf-schema#label |
Hierarchical Transformer
|
| gptkbp:improves |
contextual understanding
|
| gptkbp:is_adopted_by |
startups
tech companies |
| gptkbp:is_compared_to |
gptkb:BERT
gptkb:GPT XL Net standard Transformer |
| gptkbp:is_considered_as |
state-of-the-art model
a breakthrough in NLP |
| gptkbp:is_designed_for |
natural language processing
|
| gptkbp:is_evaluated_by |
gptkb:municipality
F1 score accuracy precision BLEU score benchmark datasets |
| gptkbp:is_explored_in |
research papers
workshops conferences theses symposia dissertations |
| gptkbp:is_implemented_in |
gptkb:Library
|
| gptkbp:is_influenced_by |
hierarchical models
|
| gptkbp:is_integrated_with |
gptkb:Cloud_Computing_Service
big data technologies |
| gptkbp:is_optimized_for |
parallel processing
|
| gptkbp:is_part_of |
deep learning frameworks
NLP models |
| gptkbp:is_related_to |
attention mechanisms
|
| gptkbp:is_supported_by |
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch GPU acceleration TPU acceleration |
| gptkbp:is_tested_for |
real-world applications
|
| gptkbp:is_used_for |
dialog systems
question answering language generation |
| gptkbp:is_used_in |
gptkb:Research_Institute
|
| gptkbp:is_utilized_in |
data mining
text analysis chatbots virtual assistants content generation |
| gptkbp:published_by |
gptkb:academic_journal
|
| gptkbp:requires |
large datasets
|
| gptkbp:training |
distributed systems
|
| gptkbp:utilizes |
multi-level attention mechanisms
|