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Discourse relation identification has been an active area of research for many years, and the challenge of identifying implicit relations remains largely an unsolved task, especially in the context of an open-domain dialogue system. Previous work primarily relies on a corpora of formal text which is inherently nondialogic, i.e., news and journals. This data however is not suitable to handle the nuances of informal dialogue nor is it capable of navigating the plethora of valid topics present indoi:10.18653/v1/p19-1065 dblp:conf/acl/MaBWCW19 fatcat:exvas72csvgpvkroek2kmy53l4