One key difficulty we want to address is that external knowledge derived event relations or hard linguistic constraints may not always apply for interpreting a particular context, and may hurt performance if used blindly (Kishimoto et al., 2018).
we propose to tightly integrate these constraints into the discourse relation inference process by manipulating hidden word representations to reflect relations between words, and meanwhile balance attentions to contexts and constraints through adding a knowledge regularization term in the final objective function.