Cross Lingual Document Classification On 9
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Massively Multilingual Sentence Embeddings | 67.78 | Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond | |
| BiLSTM (UN) | 61.42 | A Corpus for Multilingual Document Classification in Eight Languages | |
| MultiCCA + CNN | 60.8 | A Corpus for Multilingual Document Classification in Eight Languages | |
| MultiFiT, pseudo | 67.83 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuning | |
| XLMft UDA | 89.7 | Bridging the domain gap in cross-lingual document classification |
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