Cross Lingual Document Classification On
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| a-corpus-for-multilingual-document | 71.83% |
| a-corpus-for-multilingual-document | 81.2% |
| bridging-the-domain-gap-in-cross-lingual | 96.95% |
| multifit-efficient-multi-lingual-language | 91.62% |
| massively-multilingual-sentence-embeddings | 84.78% |