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Zero-Shot Cross-Lingual Transfer with Meta Learning
[article]
2020
arXiv
pre-print
Learning what to share between tasks has been a topic of great importance recently, as strategic sharing of knowledge has been shown to improve downstream task performance. This is particularly important for multilingual applications, as most languages in the world are under-resourced. Here, we consider the setting of training models on multiple different languages at the same time, when little or no data is available for languages other than English. We show that this challenging setup can be
arXiv:2003.02739v4
fatcat:zry6xjzgznabnah3xyx4btdjim