Error Analysis for Vietnamese Dependency Parsing

TL;DR

This paper conducts a detailed error analysis of Vietnamese dependency parsing using MSTParser and MaltParser to identify areas for performance improvement in NLP applications.

Contribution

It provides the first comprehensive error analysis for Vietnamese dependency parsing with two leading parsers, offering insights for future enhancements.

Findings

Identified common error types in Vietnamese dependency parsing

Compared performance differences between MSTParser and MaltParser

Suggested directions for improving Vietnamese dependency parsers

Abstract

Dependency parsing is needed in different applications of natural language processing. In this paper, we present a thorough error analysis for dependency parsing for the Vietnamese language, using two state-of-the-art parsers: MSTParser and MaltParser. The error analysis results provide us insights in order to improve the performance of dependency parsing for the Vietnamese language.