PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Joint memory-based learning of syntactic and semantic dependencies in multiple languages
Roser Morante, Vincent Van Asch and Antal Van den Bosch
In: CoNLL Shared Task 2009, 4-5 June 2009, Boulder, Colorado, USA.

Abstract

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.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:5756
Deposited By:Roser Morante
Deposited On:08 March 2010