Cross Lingual Document Classification On 9
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Accuracy | Paper Title | Repository |
---|---|---|---|
Massively Multilingual Sentence Embeddings | 67.78 | Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond | |
BiLSTM (UN) | 61.42 | A Corpus for Multilingual Document Classification in Eight Languages | |
MultiCCA + CNN | 60.8 | A Corpus for Multilingual Document Classification in Eight Languages | |
MultiFiT, pseudo | 67.83 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuning | |
XLMft UDA | 89.7 | Bridging the domain gap in cross-lingual document classification |
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