Cross Lingual Document Classification On 8
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| MultiCCA + CNN | 74.73 | A Corpus for Multilingual Document Classification in Eight Languages | |
| BiLSTM (UN) | 71.97 | A Corpus for Multilingual Document Classification in Eight Languages | |
| Massively Multilingual Sentence Embeddings | 71.93 | Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond | |
| XLMft UDA | 93.32 | Bridging the domain gap in cross-lingual document classification | |
| MultiFiT, pseudo | 82.48 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuning |
0 of 5 row(s) selected.