Joint memory-based learning of syntactic and semantic dependencies in multiple languages
Roser Morante, Vincent Van Asch and Antal Van den Bosch
In: Thirteenth Conference on Computational Natural Language Learning, 4-5 Jun 2009, Boulder, CO, USA.
In this paper we present a system submitted to the
CoNLL Shared Task 2009 performing the identification
and labeling of syntactic and semantic dependencies
in multiple languages. Dependencies are
truly jointly learned, i.e. as if they were a single
task. The system works in two phases: a classification
phase in which three classifiers predict different
types of information, and a ranking phase in which
the output of the classifiers is combined.