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.

翻译：本文介绍了ACL 2023 BioNLP研讨会上举办的生物医学研究文章通俗化摘要生成共享任务（BioLaySumm）的结果。该共享任务旨在开发能够生成"通俗摘要"（即非专业受众可理解的摘要）的抽象式摘要模型，分别在可控与非可控两种设定下进行。任务包含两个子任务：1）通俗摘要生成，要求参与团队仅基于输入的文章全文及对应技术摘要构建通俗摘要生成模型；2）可读性控制摘要生成，要求参与团队基于文章正文训练模型，使其能同时生成技术摘要和通俗摘要。除整体结果外，本文还报告了BioLaySumm共享任务的配置与相关见解，该任务共吸引20支团队参与两个子任务。