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» Automatic Domain Adaptation for Parsing
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ICST
2008
IEEE
15 years 4 months ago
Verifying and Analyzing Adaptive Logic through UML State Models
It is becoming increasingly important to be able to adapt an application’s behavior at run time in response to changing requirements and environmental conditions. Adaptive progr...
Andres J. Ramirez, Betty H. C. Cheng
AIA
2007
14 years 11 months ago
Improving extractive dialogue summarization by utilizing human feedback
Automatic summarization systems usually are trained and evaluated in a particular domain with fixed data sets. When such a system is to be applied to slightly different input, la...
Margot Mieskes, Christoph Müller, Michael Str...
COLING
2008
14 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
CORR
1999
Springer
118views Education» more  CORR 1999»
14 years 9 months ago
Supervised Grammar Induction Using Training Data with Limited Constituent Information
Corpus-based grammar induction generally relies on hand-parsed training data to learn the structure of the language. Unfortunately, the cost of building large annotated corpora is...
Rebecca Hwa
ICCV
2005
IEEE
15 years 3 months ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola