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Models/HNN

HNN

Reported on 6 benchmarks across 6 tasks · 3 papers · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing3 results

Natural Language UnderstandingonPDP60
Accuracy· 2019-07-27
90
SOTA
A Hybrid Neural Network Model for Commonsense Reasoning arXiv:1907.11983
Natural Language InferenceonWNLI
Accuracy· 2019-07-27
83.6
best: 95.9 (Turing NLR v5 XXL 5.4B (fine-tuned))
A Hybrid Neural Network Model for Commonsense Reasoning arXiv:1907.11983
Coreference ResolutiononWinograd Schema Challenge
Accuracy· 2019-07-27
75.1
best: 100 (PaLM 540B (fine-tuned))
A Hybrid Neural Network Model for Commonsense Reasoning arXiv:1907.11983

Knowledge Base2 results

Data IntegrationonWikipediaGS-CTA
Accuracy (%)· 2019-05-30
65.5
best: 74.6 (TURL)
SOTA
Learning Semantic Annotations for Tabular Data arXiv:1906.00781
Table annotationonWikipediaGS-CTA
Accuracy (%)· 2019-05-30
65.5
best: 74.6 (TURL)
SOTA
Learning Semantic Annotations for Tabular Data arXiv:1906.00781

Computer Vision1 result

Segmentationon!(()&&!|*|*|
10%· 2019-10-23
20
SOTA
Liver Segmentation from Multimodal Images using HED-Mask R-CNN arXiv:1910.10504