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ANLP
2000

Bagging and Boosting a Treebank Parser

13 years 5 months ago
Bagging and Boosting a Treebank Parser
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser are described. The best resulting system provides roughly as large of a gain in F-measure as doubling the corpus size. Error analysis of the result of the boosting technique reveals some inconsistent annotations in the Penn Treebank, suggesting a semi-automatic method for finding inconsistent treebank annotations.
John C. Henderson, Eric Brill
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where ANLP
Authors John C. Henderson, Eric Brill
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