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KCAP
2009
ACM
16 years 1 months ago
Reducing class imbalance during active learning for named entity annotation
In lots of natural language processing tasks, the classes to be dealt with often occur heavily imbalanced in the underlying data set and classifiers trained on such skewed data t...
Katrin Tomanek, Udo Hahn
KCAP
2009
ACM
16 years 1 months ago
Large-scale extraction and use of knowledge from text
A large amount of empirically derived world knowledge is essential for many languageprocessing tasks, to create expectations that can help assess plausibility and guide disambigua...
Peter Clark, Philip Harrison
KCAP
2009
ACM
16 years 1 months ago
Interactively shaping agents via human reinforcement: the TAMER framework
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
W. Bradley Knox, Peter Stone
RECSYS
2009
ACM
16 years 1 months ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ...
Benjamin M. Marlin, Richard S. Zemel
SIGIR
2009
ACM
16 years 1 months ago
When more is less: the paradox of choice in search engine use
In numerous everyday domains, it has been demonstrated that increasing the number of options beyond a handful can lead to paralysis and poor choice and decrease satisfaction with ...
Antti Oulasvirta, Janne P. Hukkinen, Barry Schwart...
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