Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Statistical decision-tree models for parsing
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
What is the minimal set of fragments that achieves maximal parse accuracy?
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
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Building deep dependency structures with a wide-coverage CCG parser
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Deep syntactic processing by combining shallow methods
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Deep syntactic processing by combining shallow methods
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Enriching the output of a parser using memory-based learning
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
Using linguistic principles to recover empty categories
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Trace prediction and recovery with unlexicalized PCFGs and slash features
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Cross-linguistic projection of role-semantic information
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Fully parsing the Penn Treebank
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank
Computational Linguistics
Wide-coverage deep statistical parsing using automatic dependency structure annotation
Computational Linguistics
A robust and hybrid deep-linguistic theory applied to large-scale parsing
ROMAND '04 Proceedings of the 3rd Workshop on RObust Methods in Analysis of Natural Language Data
A statistical tree annotator and its applications
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Language-independent parsing with empty elements
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Empty categories in Hindi dependency treebank: analysis and recovery
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
A clause-level hybrid approach to Chinese empty element recovery
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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This paper explores the problem of finding non-local dependencies. First, we isolate a set of features useful for this task. Second, we develop both a two-step approach which combines a trace tagger with a state-of-the-art lexicalized parser and a one-step approach which finds nonlocal dependencies while parsing. We find that the former outperforms the latter because it makes better use of the features we isolate.