For the sequence generation model, we implement the Long Short-Term Memory (LSTM) network with a layer of 64 hidden units while the dimension of the input event vector representation is 200.
this demonstrates the importance of the manually added event causality knowledge, and the ability of KnowSemLM to successfully capture it.