Show simple item record

dc.contributor.authorLluis Martorell, Xavier
dc.contributor.authorBott, Stefan Markus
dc.contributor.authorMàrquez Villodre, Lluís
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.identifier.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.
dc.description.abstractWe 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 F1.
dc.format.extent6 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
dc.subject.lcshComputational linguistics -- Research
dc.subject.lcshNatural language processing (Computer science)
dc.titleA second-order joint Eisner model for syntactic and semantic dependency parsing
dc.typeConference lecture
dc.subject.lemacLlenguatge natural (Informàtica) -- Processament
dc.subject.lemacLingüística computacional
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
upcommons.citation.authorLluis, X.; Bott, S.; Màrquez, L.
upcommons.citation.contributorConference on Natural Language Learning
upcommons.citation.publicationNameThirteenth Conference on Computational Natural Language Learning (CoNLL 2009)
 Find Full text

Files in this item


This item appears in the following Collection(s)

Show simple item record

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