Semantic role labeling for dependency relations
Guodong Zhou · Computer Engineering and Applications Journal · 2010
This paper presents a dependency relations-based semantic role labeling system,which takes dependency relations as the labeled units.Here,a dependency tree is created from a sequence of labeled dependency relations,from which a number of features are extracted.Moreover,the maximum entropy model is trained to identify and classify the predicates'semantic roles.In the pre-processing step,a dependency tree is pruned using Xue's algorithm.With extensive feature engineering,a wide range of features and their combinations are applied.Evaluation on the CoNLL 2008 shared task shows that this method achieves the F1-score of 86.25% on the manually labeled version and the F1-score of 81.66% on the automatically labeled version using MST-Parser.