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LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation
September 19, 2022 ยท Declared Dead ยท ๐ SDP
"No code URL or promise found in abstract"
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Authors
Yulia Otmakhova, Hung Thinh Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor, Jey Han Lau
arXiv ID
2209.08698
Category
cs.CL: Computation & Language
Citations
6
Venue
SDP
Last Checked
5 months ago
Abstract
In this paper we report on our submission to the Multidocument Summarisation for Literature Review (MSLR) shared task. Specifically, we adapt PRIMERA (Xiao et al., 2022) to the biomedical domain by placing global attention on important biomedical entities in several ways. We analyse the outputs of the 23 resulting models, and report patterns in the results related to the presence of additional global attention, number of training steps, and the input configuration.
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