Optimizing for Measure of Performance in Max-Margin Parsing

5 Sep 2017Alexander BauerShinichi NakajimaNico GörnitzKlaus-Robert Müller

Many statistical learning problems in the area of natural language processing including sequence tagging, sequence segmentation and syntactic parsing has been successfully approached by means of structured prediction methods. An appealing property of the corresponding discriminative learning algorithms is their ability to integrate the loss function of interest directly into the optimization process, which potentially can increase the resulting performance accuracy... (read more)

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