Document Dating On Apw
Metrics
Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Code | ||
|---|---|---|---|
| NeuralDater | 64.1 | Dating Documents using Graph Convolution Networks | |
| Chambers | 52.5 | - | |
| BurstySimDater | 45.9 | A Burstiness-aware Approach for Document Dating |
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