Cross Lingual Document Classification On 2
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| XLMft UDA | 96.05 | Bridging the domain gap in cross-lingual document classification | |
| Massively Multilingual Sentence Embeddings | 77.95 | Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond | |
| BiLSTM (UN) | 74.52 | A Corpus for Multilingual Document Classification in Eight Languages | |
| MultiFiT, pseudo | 89.42 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuning | |
| MultiCCA + CNN | 72.38 | A Corpus for Multilingual Document Classification in Eight Languages | |
| BiLSTM (Europarl) | 72.83 | A Corpus for Multilingual Document Classification in Eight Languages |
0 of 6 row(s) selected.