TAMU at KBP 2017: Event Nugget Detection and Coreference Resolution
Table 6: Span detection and realis status classifiers and type classifiers parameters. S means span+realis classifier and T means type classifier
['[BOLD] Name', '[BOLD] Layers', '[BOLD] Dropout', '[BOLD] Epochs']
We trained 10 neural network classifiers for span detection and realis status identification and 3 classifiers for type classification. These classifiers differ in their architecture, training parameters and initialization. The configuration [2468-600-600-50-4, 0-.5-0-0-0, 10] can be interpreted as a classifier with an input layer with 2468 neurons, 3 hidden layers with 600, 600 and 50 neurons and an output layer with 4 neurons. The classifier has a dropout layer (with the dropout rate of 0.5) after first hidden layer and is trained for 10 epochs. All the classifiers use relu activation in input layer, tanh activation in all hidden layers and softmax activation in output layers.