@inproceedings{otmakhova-etal-2022-led,
title = "{LED} down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation",
author = "Otmakhova, Yulia and
Truong, Thinh Hung and
Baldwin, Timothy and
Cohn, Trevor and
Verspoor, Karin and
Lau, Jey Han",
editor = "Cohan, Arman and
Feigenblat, Guy and
Freitag, Dayne and
Ghosal, Tirthankar and
Herrmannova, Drahomira and
Knoth, Petr and
Lo, Kyle and
Mayr, Philipp and
Shmueli-Scheuer, Michal and
de Waard, Anita and
Wang, Lucy Lu",
booktitle = "Proceedings of the Third Workshop on Scholarly Document Processing",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sdp-1.21",
pages = "181--187",
abstract = "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.",
}
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%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
Markdown (Informal)
[LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation](https://aclanthology.org/2022.sdp-1.21) (Otmakhova et al., sdp 2022)
ACL