Vietnamese transition-based dependency parsing with supertag features

Kiet Van Nguyen; Ngan Luu-Thuy Nguyen

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arXiv · 1911.03726

Vietnamese transition-based dependency parsing with supertag features

Kiet Van Nguyen·Ngan Luu-Thuy Nguyen

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Abstract

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.

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BibTeX RIS

Kiet Van Nguyen, Ngan Luu-Thuy Nguyen. 2019-11-09. Vietnamese transition-based dependency parsing with supertag features. https://arxiv.org/abs/1911.03726

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