Paper: Combining Syntactic and Semantic Features by SVM for Unrestricted Coreference Resolution

ACL ID W11-1909
Title Combining Syntactic and Semantic Features by SVM for Unrestricted Coreference Resolution
Venue International Conference on Computational Natural Language Learning
Session shared task
Year 2011
Authors

Because there is no generally accepted met- ric for measuring the performance of anaphora resolution systems, a combination of met- rics was proposed to evaluate submissions to the 2011 CONLL Shared Task (Pradhan et al., 2011). We investigate therefore Multi- objective function Optimization (MOO) tech- niques based on Genetic Algorithms to opti- mize models according to multiple metrics si- multaneously.