  Task B Phase B of the 2019 BioASQ challenge focuses on biomedical question
answering. Macquarie University's participation applies query-based
multi-document extractive summarisation techniques to generate a multi-sentence
answer given the question and the set of relevant snippets. In past
participation we explored the use of regression approaches using deep learning
architectures and a simple policy gradient architecture. For the 2019 challenge
we experiment with the use of classification approaches with and without
reinforcement learning. In addition, we conduct a correlation analysis between
various ROUGE metrics and the BioASQ human evaluation scores.
