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Computer Science > Computation and Language

arXiv:1911.03726 (cs)
[Submitted on 9 Nov 2019]

Title:Vietnamese transition-based dependency parsing with supertag features

Authors: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.
Comments: 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE)
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:1911.03726 [cs.CL]
  (or arXiv:1911.03726v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.1911.03726
Journal reference: In Proceeding of the 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE)

Submission history

From: Kiet Nguyen Van [view email]
[v1] Sat, 9 Nov 2019 16:07:38 UTC (1,322 KB)
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