Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers

1 code implementation • 24 Oct 2023 • Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin

Abstracts derived from biomedical literature possess distinct domain-specific characteristics, including specialised writing styles and biomedical terminologies, which necessitate a deep understanding of the related literature.

Enhancing Biomedical Lay Summarisation with External Knowledge Graphs

1 code implementation • 24 Oct 2023 • Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin

Previous approaches for automatic lay summarisation are exclusively reliant on the source article that, given it is written for a technical audience (e. g., researchers), is unlikely to explicitly define all technical concepts or state all of the background information that is relevant for a lay audience.

Knowledge Graphs

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

no code implementations • 29 Sep 2023 • Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin

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.

Lay Summarization

Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature

1 code implementation • 18 Oct 2022 • Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton

Lay summarisation aims to jointly summarise and simplify a given text, thus making its content more comprehensible to non-experts.

Lay Summarization