How to Construct a Power Knowledge Graph with Dispatching Data?

Algorithm 1

How to build BiLSTM + CRF named entity recognition model.

	Input: self.
	Output: Trained model.
	(1) Initialize the model.
	(2) Define the Embedding layer.
	(3) Add the Embedding layer to the model.
	(4) Add forward LSTM to the model//units = 128, return_sequences = True.
	(5) Add Dropout.
	(6) Add backward LSTM to the model//units = 64, return_sequences = True.
	(7) Add Dropout.
	(8) Add TimeDistributed layer to the model.
	(9) Define the CRF layer and Add the CRF layer to the model.
	(10) Parameter status of each layer of the output model.
	(11) Return model.