Text Classification On R52
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| text-level-graph-neural-network-for-text | 94.6 |
| simplifying-graph-convolutional-networks | 94.0 |
| graph-star-net-for-generalized-multi-task-1 | 95.00 |
| distributed-word-representation-in-tsetlin | 89.14 |
| bertgcn-transductive-text-classification-by | 96.6 |
| simple-spectral-graph-convolution | 94.5 |
| graph-convolutional-networks-for-text | 93.56 |
| simplifying-graph-convolutional-networks | 94.0 |