Structured Prediction part three - Training a linear-chain CRF

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In this final part of the series on structured prediction with linear-chain CRFs we will use our implementation from part two to train a model on real data. To learn such a model, we need a dataset with examples consisting of input sentences annotated with POS tags. We will choose the Universal Dependencies dataset ( Silveira et al., 2014 ). Then all the things we need to implement are: A…

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