Document Classification On Bbcsport
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| ApproxRepSet | 95.73 | Rep the Set: Neural Networks for Learning Set Representations | - |
| Orthogonalized Soft VSM | 97.73 | Text classification with word embedding regularization and soft similarity measure | - |
| REL-RWMD k-NN | 95.18 | Speeding up Word Mover's Distance and its variants via properties of distances between embeddings | - |
| MPAD-path | 99.59 | Message Passing Attention Networks for Document Understanding | - |
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