A Joint Model for Semantic Role Labeling.

CONLL '05: Proceedings of the Ninth Conference on Computational Natural Language Learning(2005)

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摘要
We present a semantic role labeling system submitted to the closed track of the CoNLL-2005 shared task. The system, introduced in (Toutanova et al., 2005), implements a joint model that captures dependencies among arguments of a predicate using log-linear models in a discriminative re-ranking framework. We also describe experiments aimed at increasing the robustness of the system in the presence of syntactic parse errors. Our final system achieves F1-Measures of 76.68 and 78.45 on the development and the WSJ portion of the test set, respectively.
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关键词
final system,CoNLL-2005 shared task,WSJ portion,captures dependency,closed track,discriminative re-ranking framework,joint model,log-linear model,semantic role,syntactic parse error
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