Paper: Parsing Syntactic and Semantic Dependencies with Two Single-Stage Maximum Entropy Models

ACL ID W08-2127
Title Parsing Syntactic and Semantic Dependencies with Two Single-Stage Maximum Entropy Models
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2008
Authors

This paper describes our system to carry out the joint parsing of syntactic and se- mantic dependencies for our participation in the shared task of CoNLL-2008. We il- lustrate that both syntactic parsing and se- mantic parsing can be transformed into a word-pair classification problem and im- plemented as a single-stage system with the aid of maximum entropy modeling. Our system ranks the fourth in the closed track for the task with the following per- formance on the WSJ+Brown test set: 81.44% labeled macro F1 for the overall task, 86.66% labeled attachment for syn- tactic dependencies, and 76.16% labeled F1 for semantic dependencies.