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    <abstract>Lay summarisation aims at generating a summary for non-expert audience which allows them to keep updated with latest research in a specific field. Despite the significant advancements made in the field of text summarisation, lay summarisation remains relatively under-explored. We present a comprehensive set of experiments and analysis to investigate the effectiveness of existing pre-trained language models in generating lay summaries. When evaluate our models using a BioNLP Shared Task, BioLaySumm, our submission ranked second for the relevance criteria and third overall among 21 competing teams.</abstract>
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%0 Conference Proceedings
%T CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models
%A Sim, Mong Yuan
%A Dai, Xiang
%A Rybinski, Maciej
%A Karimi, Sarvnaz
%Y Demner-fushman, Dina
%Y Ananiadou, Sophia
%Y Cohen, Kevin
%S The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F sim-etal-2023-csiro
%X Lay summarisation aims at generating a summary for non-expert audience which allows them to keep updated with latest research in a specific field. Despite the significant advancements made in the field of text summarisation, lay summarisation remains relatively under-explored. We present a comprehensive set of experiments and analysis to investigate the effectiveness of existing pre-trained language models in generating lay summaries. When evaluate our models using a BioNLP Shared Task, BioLaySumm, our submission ranked second for the relevance criteria and third overall among 21 competing teams.
%R 10.18653/v1/2023.bionlp-1.68
%U https://aclanthology.org/2023.bionlp-1.68/
%U https://doi.org/10.18653/v1/2023.bionlp-1.68
%P 629-635

Markdown (Informal)

[CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models](https://aclanthology.org/2023.bionlp-1.68/) (Sim et al., BioNLP 2023)

• CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models (Sim et al., BioNLP 2023)

ACL

• Mong Yuan Sim, Xiang Dai, Maciej Rybinski, and Sarvnaz Karimi. 2023. CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models. In The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, pages 629–635, Toronto, Canada. Association for Computational Linguistics.