Our work draws inspiration from both of these works but differentiates itself from these in the following aspects: We leverage the structure of a news article by noting that an article is just not free-form text, but has a rich structure to it.
we model cues from the title, the inferred network, and the content in a joint generic neural variational inference framework to yield improved models for this task.