6 citations · 17 across the 5 of their papers we have counts for
6 papers
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
Diego Mollá, Urvashi Khanna, Dima Galat +2
This paper presents Macquarie University's participation to the BioASQ Synergy Task, and BioASQ9b Phase B. In each of these tasks, our participation focused on the use of query-foc…
The Ubiqus English-Inuktitut System for WMT20
François Hernandez, Vincent Nguyen
This paper describes Ubiqus' submission to the WMT20 English-Inuktitut shared news translation task. Our main system, and only submission, is based on a multilingual approach, join…
Query Focused Multi-document Summarisation of Biomedical Texts
Diego Molla, Christopher Jones, Vincent Nguyen
This paper presents the participation of Macquarie University and the Australian National University for Task B Phase B of the 2020 BioASQ Challenge (BioASQ8b). Our overall framewo…
Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation
Paul Tardy, David Janiszek, Yannick Estève +1
Summarizing texts is not a straightforward task. Before even considering text summarization, one should determine what kind of summary is expected. How much should the information…
Searching Scientific Literature for Answers on COVID-19 Questions
Vincent Nguyen, Maciek Rybinski, Sarvnaz Karimi +1
Finding answers related to a pandemic of a novel disease raises new challenges for information seeking and retrieval, as the new information becomes available gradually. TREC COVID…
Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization
Paul Tardy, Louis de Seynes, François Hernandez +3
Supervised approaches for Neural Abstractive Summarization require large annotated corpora that are costly to build. We present a French meeting summarization task where reports ar…