A maximum entropy approach to natural language processing
Computational Linguistics
Statistical Language Learning
Parsing inside-out
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
A statistical parser for Czech
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
An efficient implementation of a new DOP model
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Investigating GIS and smoothing for maximum entropy taggers
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Joint and conditional estimation of tagging and parsing 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
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
Antecedent recovery: experiments with a trace tagger
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Antecedent recovery: experiments with a trace tagger
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
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
Pseudo-projective dependency parsing
ACL '05 Proceedings of the 43rd 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
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
Parsing the SynTagRus treebank of Russian
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Chasing the ghost: recovering empty categories in the Chinese treebank
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Empty categories in Hindi dependency treebank: analysis and recovery
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
PLCFRS parsing of English discontinuous constituents
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
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We present a novel approach for finding discontinuities that outperforms previously published results on this task. Rather than using a deeper grammar formalism, our system combines a simple unlexicalized PCFG parser with a shallow pre-processor. This pre-processor, which we call a trace tagger, does surprisingly well on detecting where discontinuities can occur without using phase structure information.