We built a summarizer that only copy input words for outputs with trivial modifications upon the pointer-generator model (See et al., 2017).
it implements a sequence-to-sequence model that uses the soft attention distribution to produce an output sequence whose elements are all from the input sequence, similar to what a pointer network (Vinyals et al., 2015) does.