This task can be formulated as a sequence-to-sequence learning problem where the output sequence corresponds to the position of "positive" sentences in the input email body.
we use a pointer network (Vinyals et al., 2015) to first build hierarchical sentence representations during encoding and then extract "positive" sentences during decoding.