private static double Score(SimpleMatrix features, IList <SimpleMatrix> weights)
{
for (int i = 0; i < weights.Count; i += 2)
{
features = weights[i].Mult(features).Plus(weights[i + 1]);
if (weights[i].NumRows() > 1)
{
features = NeuralUtils.ElementwiseApplyReLU(features);
}
}
return(features.ElementSum());
}
public virtual double GetPairwiseScore(SimpleMatrix antecedentEmbedding, SimpleMatrix anaphorEmbedding, SimpleMatrix pairFeatures)
{
SimpleMatrix firstLayerOutput = NeuralUtils.ElementwiseApplyReLU(antecedentEmbedding.Plus(anaphorEmbedding).Plus(pairFeaturesMatrix.Mult(pairFeatures)).Plus(pairwiseFirstLayerBias));
return(Score(firstLayerOutput, pairwiseModel));
}