Grammar, interpretation, and processing from the lexicon
Lexical representation and process
Context-Free Grammars: Covers, Normal Forms, and Parsing
Context-Free Grammars: Covers, Normal Forms, and Parsing
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
PCFG models of linguistic tree representations
Computational Linguistics
Wide Coverage Incremental Parsing by Learning Attachment Preferences
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Probabilistic top-down parsing and language modeling
Computational Linguistics
Probabilistic parsing and psychological plausibility
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Compact non-left-recursive grammars using the selective left-corner transform and factoring
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
TEG: a hybrid approach to information extraction
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Neural network probability estimation for broad coverage parsing
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
A structured language model based on context-sensitive probabilistic left-corner parsing
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Inducing history representations for broad coverage statistical parsing
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Probabilistic parsing strategies
Journal of the ACM (JACM)
Probabilistic parsing strategies
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Variational Bayes via propositionalized probability computation in PRISM
Annals of Mathematics and Artificial Intelligence
Stochastically evaluating the validity of partial parse trees in incremental parsing
IncrementParsing '04 Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together
Improved syntactic models for parsing speech with repairs
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Incremental Sigmoid Belief Networks for Grammar Learning
The Journal of Machine Learning Research
Top-down recognizers for MCFGs and MGs
CMCL '11 Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
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This paper examines efficient predictive broad, coverage parsing without dynamic programming. In contrast to bottom-up methods, depth-first top-down parsing produces partial parses that are fully connected trees spanning the entire left context, from which any kind of non-local dependency or partial semantic interpretation can in principle be read. We contrast two predictive parsing approaches, top-down and left-corner parsing, and find both to be viable. In addition, we find that enhancement with non-local information not only improves parser accuracy, but also substantially improves the search efficiency.