Since many recent approaches to computational metaphor processing have used context-based features as input to the classification task (Shutova et al., 2012;Jang et al., 2015;Jang et al., 2016), the degree of success will largely be influenced by which part of the above life cycle the metaphor is in.
for the bLSTM, the input layer of the network consisted of 89 time steps, being the length of the longest sentence in the corpus.