Similar to our POS tagging experiments, using polyglot SC vectors tend to perform best for NER as well.
we then use the previously described set of features in a linear chain CRF (Lafferty et al., 2001) using CRFsuite (Okazaki, 2007) with its default settings for hyperparameters, i.e., the coefficients of 1.0 and 0.001 for 1 and 2 regularization, respectively.