SGNN

Reported on 3 benchmarks across 3 tasks · 1 paper

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

Natural Language Processing1 result

Text ClassificationonR8
Accuracy· 2022-11-30
98.09
best: 98.451 (DeBERTa)
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets arXiv:2211.16878

Methodology1 result

ClassificationonR8
Accuracy· 2022-11-30
98.09
best: 98.451 (DeBERTa)
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets arXiv:2211.16878

Speech1 result

DialogueonICSI Meeting Recorder Dialog Act (MRDA) corpus
Accuracy
86.7
best: 92.4 (Pretrained Hierarchical Transformer)