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Found 3 papers, 2 papers with code
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
Even though large pre-trained multilingual models (e. g. mBERT, XLM-R) have led to significant performance gains on a wide range of cross-lingual NLP tasks, success on many downstream tasks still relies on the availability of sufficient annotated data.
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer
Multilingual pre-trained contextual embedding models (Devlin et al., 2019) have achieved impressive performance on zero-shot cross-lingual transfer tasks.
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
We introduce MultiATIS++, a new multilingual NLU corpus that extends the Multilingual ATIS corpus to nine languages across four language families, and evaluate our method using the corpus.
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