Unlike the above tasks, SCT (Mostafazadeh et al., 2016) provides large-scale supervised training stories of temporal and causal relations, ensuring a high-quality evaluation for common sense knowledge understanding of mechanisms.
we combine the plot vectors and ending representations to create a word-by-word interaction attention tensor, in which each channel represents the interaction of the word in one dimension.