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» On the Use of Virtual Evidence in Conditional Random Fields
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UAI
2004
15 years 1 months ago
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
Mathias Drton, Thomas S. Richardson
ACL
2012
13 years 2 months ago
Learning to Find Translations and Transliterations on the Web
In this paper, we present a new method for learning to finding translations and transliterations on the Web for a given term. The approach involves using a small set of terms and ...
Joseph Z. Chang, Jason S. Chang, Jyh-Shing Roger J...
IR
2006
14 years 11 months ago
Table extraction for answer retrieval
The ability to find tables and extract information from them is a necessary component of many information retrieval tasks. Documents often contain tables in order to communicate d...
Xing Wei, W. Bruce Croft, Andrew McCallum
AI
2011
Springer
14 years 3 months ago
Exploiting Conversational Features to Detect High-Quality Blog Comments
Abstract. In this work, we present a method for classifying the quality of blog comments using Linear-Chain Conditional Random Fields (CRFs). This approach is found to yield high a...
Nicholas FitzGerald, Giuseppe Carenini, Gabriel Mu...
SPATIALCOGNITION
1998
Springer
15 years 4 months ago
Spatial Orientation in Virtual Environments: Background Considerations and Experiments
Spatial orientation strongly relies on visual and whole-body information available while moving through space. As virtual environments allow to isolate the contribution of visual i...
Fredrik Wartenberg, Mark May, Patrick Péruc...