Before revision:  After a discussion about the definition of low-resource scenarios and the different dimensions of data availability, we then examine methods that enable learning when training data is sparse.
After revision:  After a discussion about the definition of low-resource scenarios and the different dimensions of data availability, we give a structured overview of methods that enable learning when training data is sparse.