Cross Lingual Document Classification On 8
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| a-corpus-for-multilingual-document | 74.73 |
| a-corpus-for-multilingual-document | 71.97 |
| massively-multilingual-sentence-embeddings | 71.93 |
| bridging-the-domain-gap-in-cross-lingual | 93.32 |
| multifit-efficient-multi-lingual-language | 82.48 |