Zero-shot Cross-Lingual Document Classification

2 papers with code • 9 benchmarks • 0 datasets

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Benchmarks

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These leaderboards are used to track progress in Zero-shot Cross-Lingual Document Classification

Dataset	Best Model	Compare
Cross-Lingual Sentiment (CLS)- English to German - Books	MultiFiT, pseudo	See all
Cross-Lingual Sentiment (CLS)- English to German - DVD	MultiFiT, pseudo	See all
Cross-Lingual Sentiment (CLS)- English to German - Music	MultiFiT, pseudo	See all
Cross-Lingual Sentiment (CLS)- English to French - Books	MultiFiT, pseudo	See all
Cross-Lingual Sentiment (CLS)- English to French - DVD	MultiFiT, pseudo	See all
Cross-Lingual Sentiment (CLS)- English to French - Music	MultiFiT, pseudo	See all
Cross-Lingual Sentiment (CLS)- English to Japanese - Books	MultiFiT, pseudo	See all
Cross-Lingual Sentiment (CLS)- English to Japanese - DVD	MultiFiT, pseudo	See all
Cross-Lingual Sentiment (CLS)- English to Japanese - Music	MultiFiT, pseudo	See all

Most implemented papers

Most implemented Social Latest No code

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.

Paper
Code

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.