  In recent years, dependency parsing is a fascinating research topic and has a
lot of applications in natural language processing. In this paper, we present
an effective approach to improve dependency parsing by utilizing supertag
features. We performed experiments with the transition-based dependency parsing
approach because it can take advantage of rich features. Empirical evaluation
on Vietnamese Dependency Treebank showed that, we achieved an improvement of
18.92% in labeled attachment score with gold supertags and an improvement of
3.57% with automatic supertags.
