Nearly four years ago, I released autosum. Autosum exploits work by other scientists to harvest key points from (and key concerns with) a paper. The software grabs the sentence before or after the citation to build that knowledge. The output is pretty useful. See for yourself. But you could do one better by using it as a label for supervised text summarization tasks. You could learn the BERT embeddings and then use them to predict key phrases (or more).