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Macquarie University's contribution to the BioASQ challenge (Task 5b Phase B)focused on the use of query-based extractive summarisation techniques for thegeneration of the ideal answers. Four runs were submitted, with approachesranging from a trivial system that selected the first $n$ snippets, to the useof deep learning approaches under a regression framework. Our experiments andthe ROUGE results of the five test batches of BioASQ indicate surprisingly goodresults for the trivial approach. Overall, most of our runs on the first threetest batches achieved the best ROUGE-SU4 results in the challenge.

Macquarie University at BioASQ 5b -- Query-based Summarisation Techniques for Selecting the Ideal Answers