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
Assigning function tags to parsed text
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
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
Parsing with generative models of predicate-argument structure
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Finding non-local dependencies: beyond pattern matching
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
Antecedent recovery: experiments with a trace tagger
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Pseudo-projective dependency parsing
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
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
Using machine-learning to assign function labels to parser output for Spanish
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
The stages of event extraction
ARTE '06 Proceedings of the Workshop on Annotating and Reasoning about Time and Events
Accurate learning for Chinese function tags from minimal features
ACLstudent '09 Proceedings of the ACL-IJCNLP 2009 Student Research Workshop
Assigning function tags with a simple model
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
PLCFRS parsing of English discontinuous constituents
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
A word-order based graph representation for relevance identification
Proceedings of the 21st ACM international conference on Information and knowledge management
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We describe a method for enriching the output of a parser with information available in a corpus. The method is based on graph rewriting using memory-based learning, applied to dependency structures. This general framework allows us to accurately recover both grammatical and semantic information as well as non-local dependencies. It also facilitates dependency-based evaluation of phrase structure parsers. Our method is largely independent of the choice of parser and corpus, and shows state of the art performance.