  We present the Structured Weighted Violation MIRA (SWVM), a new structured
prediction algorithm that is based on an hybridization between MIRA (Crammer
and Singer, 2003) and the structured weighted violations perceptron (SWVP)
(Dror and Reichart, 2016). We demonstrate that the concepts developed in (Dror
and Reichart, 2016) combined with a powerful structured prediction algorithm
can improve performance on sequence labeling tasks. In experiments with
syntactic chunking and named entity recognition (NER), the new algorithm
substantially outperforms the original MIRA as well as the original structured
perceptron and SWVP. Our code is available at
https://github.com/dorringel/SWVM.
