Semantic Role Labeling (State of the art)
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Top three results on the WSJ + Brown data from CoNLL 2005 Shared task. More information at (Carreras and Màrquez)
| System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...) |
|---|---|---|---|---|---|
| SNoW SRL | SNoW, ILP | Punyakanok, et. al. | Illinois SRL software, Illinois SRL demo | 77.92 % | |
| Pradhan | SVM | Pradhan et. al. | ?? | 77.30 | |
| Haghighi | MaxEnt | Haghighi, et. al. | ?? | 77.04 % |
References
- Carreras and Màrquez. Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling.
- Punyanok et. al. Generalized Inference with Multiple Semantic Role Labeling Systems.
- Pradhan et. al. Semantic Role Chunking Combining Complementary Syntactic Views.
- Haghighi et. al. A Joint Model for Semantic Role Labeling.