Paper: Semantic Role Labeling Via Integer Linear Programming Inference

ACL ID C04-1197
Title Semantic Role Labeling Via Integer Linear Programming Inference
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

We present a system for the semantic role la- beling task. The system combines a machine learning technique with an inference procedure based on integer linear programming that sup- ports the incorporation of linguistic and struc- tural constraints into the decision process. The system is tested on the data provided in CoNLL- 2004 shared task on semantic role labeling and achieves very competitive results.