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EMNLP
2004
13 years 10 months ago
Active Learning and the Total Cost of Annotation
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
Jason Baldridge, Miles Osborne
FLAIRS
2008
13 years 11 months ago
A Semantic Feature for Verbal Predicate and Semantic Role Labeling Using SVMs
This paper shows that semantic role labeling is a consequence of accurate verbal predicate labeling. In doing so, the paper presents a novel type of semantic feature for verbal pr...
Hansen A. Schwartz, Fernando Gomez, Christopher Mi...
ICIP
2009
IEEE
13 years 6 months ago
Labelfaces: Parsing facial features by multiclass labeling with an epitome prior
We consider the problem of parsing facial features from an image labeling perspective. We learn a per-pixel unary classifier, and a prior over expected label configurations, allow...
Jonathan Warrell, Simon J. D. Prince
IUI
2010
ACM
14 years 5 months ago
Towards maximizing the accuracy of human-labeled sensor data
We present two studies that evaluate the accuracy of human responses to an intelligent agent’s data classification questions. Prior work has shown that agents can elicit accurat...
Stephanie Rosenthal, Anind K. Dey
ICML
2008
IEEE
14 years 9 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin