KCAP
2009
ACM
14 years 6 months ago
2009
ACM
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...
KCAP
2009
ACM
14 years 6 months ago
2009
ACM
KCAP
2009
ACM
14 years 6 months ago
2009
ACM
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...
KCAP
2009
ACM
14 years 6 months ago
2009
ACM
KCAP
2009
ACM
14 years 6 months ago
2009
ACM
KCAP
2009
ACM
14 years 6 months ago
2009
ACM
Knowledge extraction (KE) efforts have often used corpora of heavily edited writing and sources written to provide the desired knowledge (e.g., newspapers or textbooks). However,...
KCAP
2009
ACM
14 years 6 months ago
2009
ACM
Ontologies are conceptual models of particular domains, and domains can be modeled differently, representing different opinions, beliefs or perspectives. In other terms, ontolog...
KCAP
2009
ACM
14 years 6 months ago
2009
ACM
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...
KCAP
2009
ACM
14 years 6 months ago
2009
ACM
Debugging inconsistent OWL ontologies is a timeconsuming task. Debugging services included in existing ontology engineering tools are still far from providing adequate support to ...
KCAP
2009
ACM
14 years 6 months ago
2009
ACM
The extensive work on Knowledge Engineering in the 1990s has resulted in a systematic analysis of task-types, and the corresponding problem solving methods that can be deployed fo...