We propose several techniques to enable such knowledge transfer that yield the state-of-the-art performance for IDRR on several settings of the benchmark dataset (i.e., the Penn Discourse Treebank dataset).
in order to exploit the connective-relation mapping, we propose to embed the implicit connectives and the discourse relations into the same space that would be used to transfer the knowledge between connective and relation predictions via the mapping.