%0 Conference Proceedings %T LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation %A Otmakhova, Yulia %A Truong, Thinh Hung %A Baldwin, Timothy %A Cohn, Trevor %A Verspoor, Karin %A Lau, Jey Han %Y Cohan, Arman %Y Feigenblat, Guy %Y Freitag, Dayne %Y Ghosal, Tirthankar %Y Herrmannova, Drahomira %Y Knoth, Petr %Y Lo, Kyle %Y Mayr, Philipp %Y Shmueli-Scheuer, Michal %Y de Waard, Anita %Y Wang, Lucy Lu %S Proceedings of the Third Workshop on Scholarly Document Processing %D 2022 %8 October %I Association for Computational Linguistics %C Gyeongju, Republic of Korea %F otmakhova-etal-2022-led %X In this paper we report the experiments performed for the submission to the Multidocument summarisation for Literature Review (MSLR) Shared Task. In particular, we adopt Primera model to the biomedical domain by placing global attention on important biomedical entities in several ways. We analyse the outputs of 23 resulting models and report some patterns related to the presence of additional global attention, number of training steps and the inputs configuration. %U https://aclanthology.org/2022.sdp-1.21 %P 181-187