Three new probabilistic models for dependency parsing: an exploration
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Online large-margin training of dependency parsers
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Pseudo-projective dependency parsing
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Adding semantic roles to the chinese treebank
Natural Language Engineering
CoNLL-X shared task on multilingual dependency parsing
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Multilingual dependency analysis with a two-stage discriminative parser
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
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
Dependency-based syntactic-semantic analysis with PropBank and NomBank
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
Very high accuracy and fast dependency parsing is not a contradiction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A high-performance syntactic and semantic dependency parser
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Demonstrations
Informed ways of improving data-driven dependency parsing for German
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Temporal restricted Boltzmann machines for dependency parsing
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Getting the most out of transition-based dependency parsing
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
Automatic simplification of spanish text for e-accessibility
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part I
The best of both worlds: a graph-based completion model for transition-based parsers
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Chinese semantic dependency parsing with third-order features
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Exploiting multiple treebanks for parsing with quasi-synchronous grammars
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
A hybrid system for Spanish text simplification
SLPAT '12 Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
Morphological and syntactic case in statistical dependency parsing
Computational Linguistics
Text simplification resources for Spanish
Language Resources and Evaluation
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In this paper, we describe our system for the 2009 CoNLL shared task for joint parsing of syntactic and semantic dependency structures of multiple languages. Our system combines and implements efficient parsing techniques to get a high accuracy as well as very good parsing and training time. For the applications of syntactic and semantic parsing, the parsing time and memory footprint are very important. We think that also the development of systems can profit from this since one can perform more experiments in the given time. For the subtask of syntactic dependency parsing, we could reach the second place with an accuracy in average of 85.68 which is only 0.09 points behind the first ranked system. For this task, our system has the highest accuracy for English with 89.88, German with 87.48 and the out-of-domain data in average with 78.79. The semantic role labeler works not as well as our parser and we reached therefore the fourth place (ranked by the macro F1 score) in the joint task for syntactic and semantic dependency parsing.