Structured Prediction part two - Implementing a linear-chain CRF

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In this part of the series of posts on structured prediction with conditional random fields (CRFs) we are going to implement all the ingredients that were discussed in part 1 . Recall that we discussed how to model the dependencies among labels in sequence prediction tasks with a linear-chain CRF. Now, we will put a CRF on top of a neural network feature extractor and use it for part-of-speech…

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