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NAACL
2010
13 years 7 months ago
Automatic Domain Adaptation for Parsing
Current statistical parsers tend to perform well only on their training domain and nearby genres. While strong performance on a few related domains is sufficient for many situatio...
David McClosky, Eugene Charniak, Mark Johnson
JMLR
2008
230views more  JMLR 2008»
13 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
COLING
2008
13 years 11 months ago
The Effect of Syntactic Representation on Semantic Role Labeling
Almost all automatic semantic role labeling (SRL) systems rely on a preliminary parsing step that derives a syntactic structure from the sentence being analyzed. This makes the ch...
Richard Johansson, Pierre Nugues
ACL
2009
13 years 7 months ago
K-Best A* Parsing
A parsing makes 1-best search efficient by suppressing unlikely 1-best items. Existing kbest extraction methods can efficiently search for top derivations, but only after an exhau...
Adam Pauls, Dan Klein
BMCBI
2008
116views more  BMCBI 2008»
13 years 10 months ago
GBParsy: A GenBank flatfile parser library with high speed
Background: GenBank flatfile (GBF) format is one of the most popular sequence file formats because of its detailed sequence features and ease of readability. To use the data in th...
Tae-Ho Lee, Yeon-Ki Kim, Baek Hie Nahm