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In recent years, dependency parsing is a fascinating research topic and has alot of applications in natural language processing. In this paper, we presentan effective approach to improve dependency parsing by utilizing supertagfeatures. We performed experiments with the transition-based dependency parsingapproach because it can take advantage of rich features. Empirical evaluationon Vietnamese Dependency Treebank showed that, we achieved an improvement of18.92% in labeled attachment score with gold supertags and an improvement of3.57% with automatic supertags.

Vietnamese transition-based dependency parsing with supertag features