5 search results - page 1 / 1 » Conditional Log-linear Structures for Log-linear Modelling |
NAACL
2010
13 years 5 months ago
2010
We describe a method of incorporating taskspecific cost functions into standard conditional log-likelihood (CLL) training of linear structured prediction models. Recently introduc...
JMLR
2010
13 years 2 months ago
2010
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
ACL
2006
13 years 9 months ago
2006
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
EMNLP
2011
12 years 7 months ago
2011
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...