Cross Lingual Document Classification On 2
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| bridging-the-domain-gap-in-cross-lingual | 96.05 |
| massively-multilingual-sentence-embeddings | 77.95 |
| a-corpus-for-multilingual-document | 74.52 |
| multifit-efficient-multi-lingual-language | 89.42 |
| a-corpus-for-multilingual-document | 72.38 |
| a-corpus-for-multilingual-document | 72.83 |