Therefore, 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.
we choose the paragraph-level model we proposed (Dai and Huang, 2018) as the base model, which exploits wider paragraph-level contexts and has been shown effective for PDTBstyle discourse parsing.