We present an ensemble-based framework for semantic lexicon induction that incorporates three diverse approaches for semantic class identification. Our architecture brings together previous bootstrapping methods for pattern-based semantic lexicon induction and contextual semantic tagging, and incorporates a novel approach for inducing semantic classes from coreference chains. The three methods ...

3 Juan Peng, Yingying Deng, Fangyao Chen, Xiaomei Zhang, Xiaoyan Wang, Ying 4 Zhou, Hongzhen Zhou*, Binghui Qiu* 5 Nanfang Hospital, Southern Medical University, Guangdong 510515, China 6 Department of Neurosurgery, Nanfang Hospital, Southern Medical University, 7 Guangdong 510515, China 8 Department of Biostatistics, School of Public Health and Tropical Medicine, 9 Southern Medical University,...

Several cost-sensitive boosting algorithms have been reported as effective methods in dealing with class imbalance problem. Misclassification costs, which reflect the different level of class identification importance, are integrated into the weight update formula of AdaBoost algorithm. Yet, it has been shown that the weight update parameter of AdaBoost is induced so as the training error can b...