Pseudo-projective dependency parsing
ACL '05 Proceedings of the 43rd Annual Meeting on Association for 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
A dual coordinate descent method for large-scale linear SVM
Proceedings of the 25th international conference on Machine learning
Algorithms for deterministic incremental dependency parsing
Computational Linguistics
Search-based structured prediction
Machine 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
A latent variable model of synchronous syntactic-semantic parsing for multiple languages
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
Efficient parsing of syntactic and semantic dependency structures
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Online graph planarisation for synchronous parsing of semantic and syntactic dependencies
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Non-projective dependency parsing in expected linear time
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Efficient third-order dependency parsers
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Very high accuracy and fast dependency parsing is not a contradiction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Transition-based semantic role labeling using predicate argument clustering
RELMS '11 Proceedings of the ACL 2011 Workshop on Relational Models of Semantics
Statistical dependency parsing in Korean: from corpus generation to automatic parsing
SPMRL '11 Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages
Extracting structured information from free-text medication prescriptions using dependencies
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics
Improving transition-based dependency parsing with buffer transitions
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Dependency parsing with efficient feature extraction
KI'12 Proceedings of the 35th Annual German conference on Advances in Artificial Intelligence
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This paper suggests two ways of improving transition-based, non-projective dependency parsing. First, we add a transition to an existing non-projective parsing algorithm, so it can perform either projective or non-projective parsing as needed. Second, we present a bootstrapping technique that narrows down discrepancies between gold-standard and automatic parses used as features. The new addition to the algorithm shows a clear advantage in parsing speed. The bootstrapping technique gives a significant improvement to parsing accuracy, showing near state-of-the-art performance with respect to other parsing approaches evaluated on the same data set.