Text Classification On Ohsumed
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| simplifying-graph-convolutional-networks | 68.5 |
| graph-convolutional-networks-for-text | 68.36 |
| speeding-up-word-movers-distance-and-its | 58.74 |
| text-level-graph-neural-network-for-text | 69.4 |
| simple-spectral-graph-convolution | 68.5 |
| graph-star-net-for-generalized-multi-task-1 | 64.2 |
| bertgcn-transductive-text-classification-by | 72.8 |
| simplifying-graph-convolutional-networks | 68.5 |
| rep-the-set-neural-networks-for-learning-set | 64.06 |
| on-the-role-of-text-preprocessing-in-neural | 36.2 |