Zero-shot Cross-Lingual Document Classification

2 papers with code • 9 benchmarks • 0 datasets

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Most implemented papers

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

n-waves/multifit IJCNLP 2019

Pretrained language models are promising particularly for low-resource languages as they only require unlabelled data.

Robust Cross-lingual Embeddings from Parallel Sentences

epfml/Bi-Sent2Vec 28 Dec 2019

Recent advances in cross-lingual word embeddings have primarily relied on mapping-based methods, which project pretrained word embeddings from different languages into a shared space through a linear transformation.