Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation

We present a novel regularization-based Multitask Learning (MTL) formulation for Structured Output (SO) prediction for the case of hierarchical task relations. Structured output learning often results in difficult inference problems and requires large amounts of training data to obtain accurate models... (read more)

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