Fig. 2
From: Learning adaptive representations for entity recognition in the biomedical domain
A Neural Network architecture to combine and integrate different sources and representations. Each base network is trained and validated on a single base representation. At the top of the network, a shared layer combines the output of the base networks. Green circles denote the input features. In the example, the network combines the output from P different neural networks, i.e. P different representations