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We introduce an EM based approach to biomedical hedge classification that can used as a standalone classifier or as an extension to Medlock and Briscoe's weakly supervised learning approach. We compare active learning and transductive learning to weakly supervised learning. We also introduce a support vector machine based feature selection method. An effective and computationally efficient stopping...
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