Abstract
Communicating scientific research to the general public is an essential yet challenging task. Lay summaries, which provide a simplified version of research findings, can bridge the gapbetween scientific knowledge and public understanding. The BioLaySumm task (Goldsack et al., 2023) is a shared task that seeks to automate this process by generating lay summaries from biomedical articles. Two different datasets that have been created from curating two biomedical journals (PLOS and eLife) are provided by the task organizers. As a participant in this shared task, we developed a system to generate a lay summary from an article’s abstract and main text.- Anthology ID:
- 2023.bionlp-1.69
- Volume:
- The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Dina Demner-fushman, Sophia Ananiadou, Kevin Cohen
- Venue:
- BioNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 636–640
- Language:
- URL:
- https://aclanthology.org/2023.bionlp-1.69
- DOI:
- 10.18653/v1/2023.bionlp-1.69
- Cite (ACL):
- Cagla Colak and Lknur Karadeniz. 2023. ISIKSumm at BioLaySumm Task 1: BART-based Summarization System Enhanced with Bio-Entity Labels. In The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, pages 636–640, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- ISIKSumm at BioLaySumm Task 1: BART-based Summarization System Enhanced with Bio-Entity Labels (Colak & Karadeniz, BioNLP 2023)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2023.bionlp-1.69.pdf