|
gptkbp:instance_of
|
gptkb:Performance_Monitoring
|
|
gptkbp:challenges
|
machine learning algorithms
AI systems
NLP models
|
|
gptkbp:consists_of
|
textual entailment pairs
|
|
gptkbp:developed_by
|
gptkb:MIT
|
|
gptkbp:evaluates
|
model performance
|
|
gptkbp:first_introduced
|
gptkb:2005
|
|
gptkbp:has_applications_in
|
dialog systems
question answering
chatbots
information retrieval
|
|
gptkbp:has_variants
|
gptkb:RTE-1
gptkb:RTE-3
RTE-2
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
RTE benchmark
|
|
gptkbp:includes
|
gptkb:scientific_experiments
premise
|
|
gptkbp:is_associated_with
|
gptkb:Tensor_Flow
gptkb:Allen_NLP
gptkb:Stanford_NLP
gptkb:Py_Torch
gptkb:Hugging_Face
|
|
gptkbp:is_documented_in
|
gptkb:conference
research papers
journals
technical reports
|
|
gptkbp:is_evaluated_by
|
gptkb:historical_memory
F1 score
accuracy
precision
|
|
gptkbp:is_influenced_by
|
cognitive science
linguistics
philosophy of language
|
|
gptkbp:is_part_of
|
NLP research community
AI research community
NLP tasks
machine learning research community
|
|
gptkbp:is_related_to
|
deep learning
transfer learning
text classification
semantic understanding
|
|
gptkbp:is_supported_by
|
datasets
evaluation frameworks
toolkits
|
|
gptkbp:is_used_by
|
gptkb:developers
gptkb:researchers
|
|
gptkbp:is_used_for
|
benchmarking performance
training models
testing models
|
|
gptkbp:measures
|
natural language inference
|
|
gptkbp:provides
|
evaluation metrics
|
|
gptkbp:used_in
|
gptkb:machine_learning
|
|
gptkbp:bfsParent
|
gptkb:Tiny_BERT
|
|
gptkbp:bfsLayer
|
6
|