Paper: A Joint Model For Semantic Role Labeling

ACL ID W05-0623
Title A Joint Model For Semantic Role Labeling
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2005
Authors

We present a semantic role labeling sys- tem submitted to the closed track of the CoNLL-2005 shared task. The system, in- troduced in (Toutanova et al. , 2005), im- plements a joint model that captures de- pendencies among arguments of a predi- cate using log-linear models in a discrimi- native re-ranking framework. We also de- scribe 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.