On building a more efficient grammar by exploiting types
Natural Language Engineering
Parser engineering and performance profiling
Natural Language Engineering
Efficient deep processing of Japanese
COLING '02 Proceedings of the 3rd workshop on Asian language resources and international standardization - Volume 12
A comparison of algorithms for maximum entropy parameter estimation
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Adding semantic roles to the chinese treebank
Natural Language Engineering
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
Hybrid learning of dependency structures from heterogeneous linguistic resources
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
The CoNLL-2009 shared task: syntactic and semantic dependencies in multiple languages
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
Efficiency in unification-based N-best parsing
IWPT '07 Proceedings of the 10th International Conference on Parsing Technologies
Construction of a German HPSG grammar from a detailed treebank
GEAF '09 Proceedings of the 2009 Workshop on Grammar Engineering Across Frameworks
LXGram: a deep linguistic processing grammar for Portuguese
PROPOR'10 Proceedings of the 9th international conference on Computational Processing of the Portuguese Language
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In this paper we present our syntactic and semantic dependency parsing system submitted to both the closed and open challenges of the CoNLL 2009 Shared Task. The system extends the system of Zhang, Wang, & Uszkoreit (2008) in the multilingual direction, and achieves 76.49 average macro F1 Score on the closed joint task. Substantial improvements to the open SRL task have been observed that are attributed to the HPSG parses with handcrafted grammars.