Paper: Discriminative Learning of Syntactic and Semantic Dependencies

ACL ID W08-2130
Title Discriminative Learning of Syntactic and Semantic Dependencies
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2008
Authors

A Maximum Entropy Model based system for discriminative learning of syntactic and semantic dependencies submitted to the CoNLL-2008 shared task (Surdeanu, et al., 2008) is presented in this paper. The sys- tem converts the dependency learning task to classification issues and reconstructs the dependent relations based on classification results. Finally F1 scores of 86.69, 69.95 and 78.35 are obtained for syntactic depen- dencies, semantic dependencies and the whole system respectively in closed chal- lenge. For open challenge the correspond- ing F1 scores are 86.69, 68.99 and 77.84.