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h5. Perceptron
The structured perceptron, with parallelization is implemented after : McDonald et al. (2010), ["Distributed Training Strategies for the Structured Perceptron | http://aclweb.org/anthology/N/N10/N10-1069.pdf])

The structured perceptron, with parallelization is implemented after : McDonald et al. (2010), ([Distributed Training Strategies for the Structured Perceptron | http://aclweb.org/anthology/N/N10/N10-1069.pdf])


h3. Algorithms for feature selection
NLP datasets are characterized by a large number of features, sometimes order of magnitudes higher than the number of training samples available. In order to avoid overfitting, feature selection can be used prior to or during model training. We have a large number of approaches to feature selection: