Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Bootstrapping parsers via syntactic projection across parallel texts
Natural Language Engineering
Online large-margin training of dependency parsers
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
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
Parser combination by reparsing
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Parsed corpora for linguistics
ILCL '09 Proceedings of the EACL 2009 Workshop on the Interaction between Linguistics and Computational Linguistics: Virtuous, Vicious or Vacuous?
Web-scale N-gram models for lexical disambiguation
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Basic language resources for diverse Asian languages: a streamlined approach for resource creation
ALR7 Proceedings of the 7th Workshop on Asian Language Resources
Effective analysis of causes and inter-dependencies of parsing errors
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Improving dependency parsing with subtrees from auto-parsed data
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Generalizing syntactic structures for product attribute candidate extraction
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Ensemble models for dependency parsing: cheap and good?
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
An efficient algorithm for easy-first non-directional dependency parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Using smaller constituents rather than sentences in active learning for Japanese dependency parsing
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Detecting errors in automatically-parsed dependency relations
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Hard constraints for grammatical function labelling
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Importance of linguistic constraints in statistical dependency parsing
ACLstudent '10 Proceedings of the ACL 2010 Student Research Workshop
Grammar-driven versus data-driven: which parsing system is more affected by domain shifts?
NLPLING '10 Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground
Inspecting the structural biases of dependency parsing algorithms
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
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To detect errors in automatically-obtained dependency parses, we take a grammar-based approach. In particular, we develop methods that incorporate n-grams of different lengths and use information about possible parse revisions. Using our methods allows annotators to focus on problematic parses, with the potential to find over half the parse errors by examining only 20% of the data, as we demonstrate. A key result is that methods using a small gold grammar outperform methods using much larger grammars containing noise. To perform annotation error detection on newly-parsed data, one only needs a small grammar.