1427 search results - page 37 / 286 » Learning with Annotation Noise |
EMNLP
2006
14 years 11 months ago
2006
In this work we learn clusters of contextual annotations for non-terminals in the Penn Treebank. Perhaps the best way to think about this problem is to contrast our work with that...
ACL
2009
14 years 7 months ago
2009
While Active Learning (AL) has already been shown to markedly reduce the annotation efforts for many sequence labeling tasks compared to random selection, AL remains unconcerned a...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
MMM
2007
Springer
15 years 4 months ago
2007
Springer
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...