Cross Lingual Document Classification On 9
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| massively-multilingual-sentence-embeddings | 67.78 |
| a-corpus-for-multilingual-document | 61.42 |
| a-corpus-for-multilingual-document | 60.8 |
| multifit-efficient-multi-lingual-language | 67.83 |
| bridging-the-domain-gap-in-cross-lingual | 89.7 |