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The Liquid State Machine (LSM) is a biologically plausible model of computation for recurrent spiking neural networks, which offers promising solutions to real-world applications in both software and hardware based systems. At the same time, deep feedforward rate-based neural networks such as convolutional neural networks (CNNs) have achieved great success in many computer vision related applications...
A parse tree contains rich syntactic structured information, and the structured features have been proved effective in relation extraction. In this paper, we proposed another way to efficiently utilize structured features but in a weakly learning way. Co-training algorithm was chosen by us, the structured features were set to be one view of it, and the flat features were set to be the other. Through...
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