Vietnamese transition-based dependency parsing with supertag features
Computation and Language
2019-11-19 v1
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.
Cite
@article{arxiv.1911.03726,
title = {Vietnamese transition-based dependency parsing with supertag features},
author = {Kiet Van Nguyen and Ngan Luu-Thuy Nguyen},
journal= {arXiv preprint arXiv:1911.03726},
year = {2019}
}
Comments
2016 Eighth International Conference on Knowledge and Systems Engineering (KSE)