BBAuthors: Bauer, A.; Advisor: -; Participants: Nakajima, S.; Görnitz, N.; Müller, K. (2019)
Many learning tasks in the field of natural language processing including sequence tagging, sequence segmentation, and syntactic parsing have been successfully approached by means of structured prediction methods. An appealing property of the corresponding training algorithms is their ability to integrate the loss function of interest into the optimization process improving the final results according to the chosen
measure of performance. Here, we focus on the task of constituency parsing and show how to optimize the model for the F -score in the max-margin framework of a structural support vector machine (SVM).
For reasons of computational efficiency, it is a common approach to binari... 
