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» Relaxed Marginal Inference and its Application to Dependency...
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NAACL
2010
13 years 2 months ago
Relaxed Marginal Inference and its Application to Dependency Parsing
Recently, relaxation approaches have been successfully used for MAP inference on NLP problems. In this work we show how to extend the relaxation approach to marginal inference use...
Sebastian Riedel, David A. Smith
ICML
2009
IEEE
14 years 5 months ago
Polyhedral outer approximations with application to natural language parsing
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
André F. T. Martins, Noah A. Smith, Eric P....
EMNLP
2011
12 years 4 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
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...
Michael Auli, Adam Lopez
UAI
2008
13 years 5 months ago
Adaptive inference on general graphical models
Many algorithms and applications involve repeatedly solving variations of the same inference problem; for example we may want to introduce new evidence to the model or perform upd...
Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mett...
PAKDD
2005
ACM
160views Data Mining» more  PAKDD 2005»
13 years 9 months ago
Improving Mining Quality by Exploiting Data Dependency
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...