(2015) proposed a neural headline generation model, there have been many studies on the same headline generation task (Takase et al., 2016;Chopra et al., 2016;Kiyono et al., 2017;Ayana et al., 2017;Raffel et al., 2017).
all of them are abstractive methods that can yield erroneous output, and the training for them requires a lot of paired data, i.e., news articles and headlines.