A joint model for parsing syntactic and semantic dependencies

Lluis Martorell, Xavier; Màrquez Villodre, Lluís

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Lluis Martorell, Xavier

Màrquez Villodre, Lluís

Document typeConference report

Defense date2008

PublisherColing 2008 Organizing Committee

Rights accessOpen Access

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

Abstract

This paper describes a system that jointly parses syntactic and semantic dependencies, presented at the CoNLL-2008 shared task (Surdeanu et al., 2008). It combines online Peceptron learning (Collins, 2002) with a parsing model based on the Eisner algorithm (Eisner, 1996), extended so as to jointly assign syntactic and semantic labels. Overall results are 78.11 global F1, 85.84 LAS, 70.35 semantic F1. Official results for the shared task (63.29 global F1; 71.95 LAS; 54.52 semantic F1) were significantly lower due to bugs present at submission time.

CitationLluis, X.; Màrquez, L. A joint model for parsing syntactic and semantic dependencies. A: Conference on Computational Natural Language Learning. "Proceedings of the Twelfth Conference on Computational Natural Language Learning". Manchester: Coling 2008 Organizing Committee, 2008, p. 188-192.

URIhttp://hdl.handle.net/2117/14915

Publisher versionhttp://www.cnts.ua.ac.be/conll2008/proceedings.html

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