Cross-lingual Document Classification on Reuters en -> de (train test)
0.862AccuracyBICVM+
Evaluation results
| Method | Links | |
|---|---|---|
| BICVM+Number of labeled examples=1000, Classifier=Averaged perceptron2013.12 | 0.862 | |
| BICVMNumber of labeled examples=1000, Classifier=Averaged perceptron2013.12 | 0.837 | |
| I-MatrixNumber of labeled examples=1000, Classifier=Averaged perceptron2013.12 | 0.776 | |
| MTNumber of labeled examples=1000, Classifier=Averaged perceptron2013.12 | 0.681 | |
| GlossedNumber of labeled examples=1000, Classifier=Averaged perceptron2013.12 | 0.651 | |
| Majority ClassNumber of labeled examples=1000, Classifier=Averaged perceptron2013.12 | 0.468 |