Paper: Semantic Role Labeling Via Generalized Inference Over Classifiers

ACL ID W04-2421
Title Semantic Role Labeling Via Generalized Inference Over Classifiers
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2004
Authors

We present a system submitted to the CoNLL- 2004 shared task for semantic role labeling. The system is composed of a set of classifiers and an inference procedure used both to clean the classification results and to ensure struc- tural integrity of the final role labeling. Lin- guistic information is used to generate features during classification and constraints for the in- ference process.