A Joint Model for Parsing Syntactic and Semantic Dependencies (2008)
| Venue: | In Proc. of CoNLL-2008 Shared Task |
| Citations: | 6 - 1 self |
BibTeX
@INPROCEEDINGS{Lluís08ajoint,
author = {Xavier Lluís and Lluís Màrquez},
title = {A Joint Model for Parsing Syntactic and Semantic Dependencies},
booktitle = {In Proc. of CoNLL-2008 Shared Task},
year = {2008}
}
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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. 1
Citations
| 200 | Three New Probabilistic Models for Dependency Parsing: An Exploration - Eisner - 1996 |
| 156 | Online large-margin training of dependency parsers - McDonald, Crammer, et al. - 2005 |
| 62 | D.: Semantic role labeling via integer linear programming inference - Punyakanok, Roth, et al. - 2004 |
| 46 | Lluís Màrquez, and Joakim Nivre. 2008. The conll-2008 shared task on joint parsing of syntactic and semantic dependencies - Surdeanu, Johansson, et al. |
| 37 | Experiments with a higher-order projective dependency parser - Carreras - 2007 |
| 25 | Combination strategies for semantic role labeling - Surdeanu, Carreras, et al. - 2007 |
| 1 | Forthcoming 2008. Joint learning of syntactic and semantic dependencies - Lluís |
