While sentence intersection was originally proposed for abstractive summarization, we argue that it is an interesting generic paradigm for modeling information overlap, which generalizes over several previous approaches.
it is expressive enough to capture partial semantic overlaps that are not modeled by textual entailment or even partial textual entailment (Nielsen et al., 2009;Levy et al., 2013).