To the best of our knowledge, we are the first to exploit the idea of meta-learning for transferring zeroshot knowledge in a cross-lingual setting for natural language understanding, in particular for the tasks of NLI and QA.
we exploit the usage of Model Agnostic Meta-Learning (MAML) which uses gradient descent and achieves a good generalisation for a variety of tasks (Finn et al., 2017).