[2309.17332] Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles
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Computer Science > Computation and Language

arXiv:2309.17332 (cs)
[Submitted on 29 Sep 2023 (v1), last revised 25 Oct 2023 (this version, v2)]

Title:Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles

Authors:Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin
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Abstract:This paper presents the results of the shared task on Lay Summarisation of Biomedical Research Articles (BioLaySumm), hosted at the BioNLP Workshop at ACL 2023. The goal of this shared task is to develop abstractive summarisation models capable of generating "lay summaries" (i.e., summaries that are comprehensible to non-technical audiences) in both a controllable and non-controllable setting. There are two subtasks: 1) Lay Summarisation, where the goal is for participants to build models for lay summary generation only, given the full article text and the corresponding abstract as input; and 2) Readability-controlled Summarisation, where the goal is for participants to train models to generate both the technical abstract and the lay summary, given an article's main text as input. In addition to overall results, we report on the setup and insights from the BioLaySumm shared task, which attracted a total of 20 participating teams across both subtasks.
Comments: Published at BioNLP@ACL2023
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2309.17332 [cs.CL]
  (or arXiv:2309.17332v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2309.17332
Journal reference: The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks (2023) 468-477
Related DOI: https://doi.org/10.18653/v1/2023.bionlp-1.44

Submission history

From: Tomas Goldsack [view email]
[v1] Fri, 29 Sep 2023 15:43:42 UTC (63 KB)
[v2] Wed, 25 Oct 2023 08:16:43 UTC (63 KB)
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