Multilingual syntactic-semantic dependency parsing with three-stage approximate max-margin linear models

Abstract

This paper describes a system for syntactic-semantic dependency parsing for multiple languages. The system consists of three parts: a state-of-the-art higher-order projective dependency parser for syntactic dependency parsing, a predicate classifier, and an argument classifier for semantic dependency parsing. For semantic dependency parsing, we explore use of global features. All components are trained with an approximate max-margin learning algorithm.