Joint model for parsing syntactic and semantic dependencies

Xavier Lluís, Lluis Marques

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

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 F 1, 85.84 LAS, 70.35 semantic F 1. Official results for the shared task (63.29 global F 1; 71.95 LAS; 54.52 semantic F 1) were significantly lower due to bugs present at submission time.

Original languageEnglish
Title of host publicationCoNLL 2008 - Proceedings of the Twelfth Conference on Computational Natural Language Learning
Pages188-192
Number of pages5
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event12th Conference on Computational Natural Language Learning, CoNLL 2008 - Manchester, United Kingdom
Duration: 16 Aug 200817 Aug 2008

Other

Other12th Conference on Computational Natural Language Learning, CoNLL 2008
CountryUnited Kingdom
CityManchester
Period16/8/0817/8/08

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Linguistics and Language

Cite this

Lluís, X., & Marques, L. (2008). Joint model for parsing syntactic and semantic dependencies. In CoNLL 2008 - Proceedings of the Twelfth Conference on Computational Natural Language Learning (pp. 188-192)