A maximum entropy approach to natural language processing
Computational Linguistics
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Discriminative Reranking for Natural Language Parsing
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
New figures of merit for best-first probabilistic chart parsing
Computational Linguistics
Three new probabilistic models for dependency parsing: an exploration
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
A statistical parser for Czech
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Immediate-head parsing for language models
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
A simple pattern-matching algorithm for recovering empty nodes and their antecedents
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Probabilistic parsing for German using sister-head dependencies
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
Incremental parsing with the perceptron algorithm
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Pseudo-projective dependency parsing
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Contrastive estimation: training log-linear models on unlabeled data
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Factored A* search for models over sequences and trees
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Graph transformations in data-driven dependency parsing
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Mildly non-projective dependency structures
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Sorting Out Dependency Parsing
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Dependency Parsing by Transformation and Combination
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
DeSRL: a linear-time semantic role labeling system
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Treebank grammar techniques for non-projective dependency parsing
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
On the complexity of non-projective data-driven dependency parsing
IWPT '07 Proceedings of the 10th International Conference on Parsing Technologies
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
Detecting errors in automatically-parsed dependency relations
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Parse correction with specialized models for difficult attachment types
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
Multilingual joint parsing of syntactic and semantic dependencies with a latent variable model
Computational Linguistics
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We present a corrective model for recovering non-projective dependency structures from trees generated by state-of-the-art constituency-based parsers. The continuity constraint of these constituency-based parsers makes it impossible for them to posit non-projective dependency trees. Analysis of the types of dependency errors made by these parsers on a Czech corpus show that the correct governor is likely to be found within a local neighborhood of the governor proposed by the parser. Our model, based on a MaxEnt classifier, improves overall dependency accuracy by .7% (a 4.5% reduction in error) with over 50% accuracy for non-projective structures.