research
∙
09/05/2022
Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answering
This paper presents Macquarie University's participation to the two most...
share
research
∙
09/15/2021
Transformer-based Language Models for Factoid Question Answering at BioASQ9b
In this work, we describe our experiments and participating systems in t...
research
∙
08/27/2021
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
This paper presents Macquarie University's participation to the BioASQ S...
research
∙
08/27/2020
Query Focused Multi-document Summarisation of Biomedical Texts
This paper presents the participation of Macquarie University and the Au...
research
∙
09/02/2019
Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b
Task B Phase B of the 2019 BioASQ challenge focuses on biomedical questi...
research
∙
09/14/2018
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based multi-document summarisation
This paper describes Macquarie University's contribution to the BioASQ C...
research
∙
09/14/2018
Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data
The automation of text summarisation of biomedical publications is a pre...
research
∙
11/10/2017
Towards the Use of Deep Reinforcement Learning with Global Policy For Query-based Extractive Summarisation
Supervised approaches for text summarisation suffer from the problem of ...
research
∙
06/25/2017