Here E() represents the embedding matrix as described earlier and BiLST M * represents a sequential application of the BiLST M function.
if there a total of m feature keys and embedding dimension is d, E(f move , f threat , f score ) is matrix of m * d. If hidden size of BILSTM is of size x, then g enc is of dimensionality m * x.