Similar to the encoder, the decoder also uses LSTM layers, taking the context vector and a previous word (during training) to predict the next word in the summary. The decoder ends with a softmax ...

Encoder inference model : Takes the question as input and outputs LSTM states ( h and c ). Decoder inference model : Takes in 2 inputs, one are the LSTM states ( Output of encoder model ), second are ...