Structural ambiguity and lexical relations
HLT '90 Proceedings of the workshop on Speech and Natural Language
Generating a grammar for statistical training
HLT '90 Proceedings of the workshop on Speech and Natural Language
Deducing linguistic structure from the statistics of large corpora
HLT '90 Proceedings of the workshop on Speech and Natural Language
Poor estimates of context are worse than none
HLT '90 Proceedings of the workshop on Speech and Natural Language
Introduction to Formal Language Theory
Introduction to Formal Language Theory
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Automatic acquisition of subcategorization frames from untagged text
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Efficiency, robustness and accuracy in Picky chart parsing
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Three new probabilistic models for dependency parsing: an exploration
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Relating probabilistic grammars and automata
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Parsing with Probabilistic Strictly Locally Testable Tree Languages
IEEE Transactions on Pattern Analysis and Machine Intelligence
An information-theory-based feature type analysis for the modelling of statistical parsing
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Intricacies of Collins' Parsing Model
Computational Linguistics
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
Discriminative Reranking for Natural Language Parsing
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Summary in context: Searching versus browsing
ACM Transactions on Information Systems (TOIS)
Deterministic dependency parsing of English text
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Discriminative classifiers for deterministic dependency parsing
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Computational Linguistics
History-Based Inside-Outside Algorithm
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Labeled pseudo-projective dependency parsing with support vector machines
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Parsing the SynTagRus treebank of Russian
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Incremental parsing with reference interaction
IncrementParsing '04 Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together
Pseudo context-sensitive models for parsing isolating languages: classical Chinese-a case study
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Tree topological features for unlexicalized parsing
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
An analysis of tree topological features in classifier-based unlexicalized parsing
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Probabilistic state-dependent grammars for plan recognition
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Data driven approaches to speech and language processing
Nonlinear Speech Modeling and Applications
Experiments on POS tagging and data driven dependency parsing for Telugu language
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
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We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates lexical, syntactic, semantic, and structural information from the parse tree into the disambiguation process in a novel way. We use a corpus of bracketed sentences, called a Tree-bank, in combination with decision tree building to tease out the relevant aspects of a parse tree that will determine the correct parse of a sentence. This stands in contrast to the usual approach of further grammar tailoring via the usual linguistic introspection in the hope of generating the correct parse. In head-to-head tests against one of the best existing robust probabilistic parsing models, which we call P-CFG, the HBG model significantly outperforms P-CFG, increasing the parsing accuracy rate from 60% to 75%, a 37% reduction in error.