564 search results - page 7 / 113 » Improving distant supervision using inference learning |
EMNLP
2010
13 years 7 months ago
2010
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
SIGIR
2012
ACM
12 years 7 days ago
2012
ACM
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
ICPR
2008
IEEE
2008
IEEE
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
14 years 11 months ago
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
EMNLP
2008
13 years 11 months ago
2008
Machine learning approaches to coreference resolution are typically supervised, and require expensive labeled data. Some unsupervised approaches have been proposed (e.g., Haghighi...