Rights accessRestricted access - publisher's policy
We present a system developed for the
CoNLL-2009 Shared Task (Hajic et al., 2009).
We extend the Carreras (2007) parser to
jointly annotate syntactic and semantic dependencies.
This state-of-the-art parser factorizes
the built tree in second-order factors. We
include semantic dependencies in the factors
and extend their score function to combine
syntactic and semantic scores. The parser is
coupled with an on-line averaged perceptron
(Collins, 2002) as the learning method. Our
averaged results for all seven languages are
71.49 macro F1, 79.11 LAS and 63.06 semantic
CitationLluis, X.; Bott, S.; Màrquez, L. A second-order joint Eisner model for syntactic and semantic dependency parsing. A: Conference on Natural Language Learning. "Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009)". 2009, p. 79-84.
A Second-Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: email@example.com