Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:based_on |
crowdsourcing
|
| gptkbp:consists_of |
premises
hypotheses |
| gptkbp:contains |
570,000 human-written sentence pairs
contradiction labels entailment labels neutral labels |
| gptkbp:created_by |
gptkb:Alexander_Miller
|
| gptkbp:has_version |
1.0
|
| https://www.w3.org/2000/01/rdf-schema#label |
SNLI
|
| gptkbp:is_available_on |
https://nlp.stanford.edu/projects/snli/
|
| gptkbp:is_cited_in |
numerous academic papers
|
| gptkbp:is_compared_to |
ANLI dataset
QNLI dataset SICK dataset |
| gptkbp:is_documented_in |
research papers
technical reports theses human annotators |
| gptkbp:is_evaluated_by |
accuracy metrics
|
| gptkbp:is_influenced_by |
gptkb:psychologist
cognitive science computational linguistics philosophy of language data privacy concerns AI ethics linguistic theories machine learning advancements |
| gptkbp:is_part_of |
machine learning datasets
AI datasets NLP datasets NLP research |
| gptkbp:is_related_to |
gptkb:Visual_Genome
gptkb:Multi_NLI supervised learning unsupervised learning transfer learning text classification semantic similarity few-shot learning semi-supervised learning zero-shot learning |
| gptkbp:is_supported_by |
gptkb:Stanford_University
gptkb:Google_Research gptkb:Facebook_AI_Research |
| gptkbp:is_used_for |
benchmarking performance
training models evaluating models natural language inference |
| gptkbp:is_used_in |
gptkb:academic_research
industry applications machine learning models NLP competitions |
| gptkbp:is_utilized_in |
deep learning research
|
| gptkbp:language |
English
|
| gptkbp:performance |
NLI tasks
|
| gptkbp:release_date |
gptkb:2015
|
| gptkbp:bfsParent |
gptkb:MNLI
|
| gptkbp:bfsLayer |
5
|