PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Experiments with an ensemble of Spanish dependency parsers
Roser Morante
Procesamiento del Lenguaje Natural Volume 40, pp. 59-66, 2008. ISSN 1135-5948

Abstract

This article presents an ensemble system for dependency parsing of Spanish that combines three machine-learning-based dependency parsers. The system operates in two stages. In the first stage, each of the three parsers analyzes an input sentence and produces a dependency graph. In the second stage, a voting system distills a final dependency graph out of the three first-stage dependency graphs.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:5741
Deposited By:Roser Morante
Deposited On:08 March 2010