Cross Lingual Document Classification On 2
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| XLMft UDA | 96.05 | Bridging the domain gap in cross-lingual document classification | |
| Massively Multilingual Sentence Embeddings | 77.95 | Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond | |
| BiLSTM (UN) | 74.52 | A Corpus for Multilingual Document Classification in Eight Languages | |
| MultiFiT, pseudo | 89.42 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuning | |
| MultiCCA + CNN | 72.38 | A Corpus for Multilingual Document Classification in Eight Languages | |
| BiLSTM (Europarl) | 72.83 | A Corpus for Multilingual Document Classification in Eight Languages |
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