As the model, we use a standard linear chain CRF (Lafferty et al., 2001) for the first two sets of experiments, while for cold-start case we use a basic RNN classifier with the same multilingual embeddings as before, and a 128 dimensional hidden layer.
given the dearth of data in the low-resource setting, this assumption can make standard approaches infeasible.