This article proposes a syntactic parsing strategy based on a dependency grammar
containing formal rules and a compression technique that reduces the complexity of those …

This article proposes a syntactic parsing strategy based on a dependency grammar
containing both formal rules and a compression technique that reduces the complexity of …

Statistical parsers often require careful parameter tuning and feature selection. This is a
nontrivial task for application developers who are not interested in parsing for its own sake …

Dependency parsers, which are widely used in natural language processing tasks, employ a
representation of syntax in which the structure of sentences is expressed in the form of …

The run time complexity of state-of-the-art inference algorithms in graph-based dependency
parsing is super-linear in the number of input words (n). Recently, pruning algorithms for …

MaltOptimizer es una herramienta capaz de proporcionar una opti-mizaci on para modelos
generados mediante MaltParser. Los analizadores de depen-dencias actuales requieren …

Statistical dependency parsing accuracy has been improved substantially during the last
years. One of the main reasons is the inclusion of datadriven (or machine learning) based …

MaltOptimizer es una herramienta capaz de proporcionar una optimización para modelos
generados mediante MaltParser. Los analizadores de dependencias actuales requieren …