Reducing Annotation Effort using Generalized Expectation Criteria

Generalized expectation (GE) criteria [McCallum et al., 2007] are terms in objective functions that assign scores to values of model expectations. In this paper we introduce GE-FL, a method that uses GE to train a probabilistic model using associations between input features and classes rather than complete labeled instances. Specifically, here the… CONTINUE READING