3. The system according to claim 2 , wherein said neural network is implemented using a sequence to sequence artificial neural network architecture, sequences of the variable length CLIS are mapped to a hidden state and sequences of the variable length CLOS are generated from the hidden state.
3. The system according to claim 2 , wherein said neural network is implemented using a sequence to sequence artificial neural network architecture, sequences of the variable length CLIS are mapped to a hidden state and sequences of the variable length CLOS are generated from the hidden state. 4. The system according to claim 3 , wherein the sequence to sequence artificial neural network architecture is implemented using a bidirectional LSTM input layer.