A maximum entropy approach to natural language processing
Computational Linguistics
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Non-projective dependency parsing using spanning tree algorithms
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
A joint syntactic and semantic dependency parsing system based on maximum entropy models
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
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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 system 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 dependencies, semantic dependencies and the whole system respectively in closed challenge. For open challenge the corresponding F1 scores are 86.69, 68.99 and 77.84.