Thanks but that is not what the OP is claiming. That generates text from a seed, the OP is talking about an article that generates a summary of an article, but without using existing sentences.
You don’t need any seed, and can generate summaries (section 3.6).
GPT-2 is the model to learn about if you’re interested in NLP.
Are there any papers benchmarking a transformer NN architecture in comparison to something like a pointer-generator network? I'm doing a bit of work in this area (i.e. reimplementing papers), and I'm curious if GPT2-like models can derive greater semantic meaning.
Both GPT-2 and pointer-generator network are open source, and pretrained models are available, so it should be straightforward to compare them.