Eulerian at BioLaySumm: Preprocessing Over Abstract is All You Need

Satyam Modi, T Karthikeyan


Abstract
In this paper, we present our approach to the BioLaySumm 2024 Shared Task on Lay Sum- marization of Biomedical Research Articles at BioNLP workshop 2024. The task aims to generate lay summaries from the abstract and main texts of biomedical research articles, making them understandable to lay audiences. We used some preprocessing techniques and finetuned FLAN-T5 models for the summarization task. Our method achieved an AlignScore of 0.9914 and a SummaC metric score of 0.944.
Anthology ID:
2024.bionlp-1.77
Volume:
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
Month:
August
Year:
2024
Address:
Bangkok, Thailand
Editors:
Dina Demner-Fushman, Sophia Ananiadou, Makoto Miwa, Kirk Roberts, Junichi Tsujii
Venues:
BioNLP | WS
SIG:
SIGBIOMED
Publisher:
Association for Computational Linguistics
Note:
Pages:
826–830
Language:
URL:
https://aclanthology.org/2024.bionlp-1.77
DOI:
10.18653/v1/2024.bionlp-1.77
Bibkey:
Cite (ACL):
Satyam Modi and T Karthikeyan. 2024. Eulerian at BioLaySumm: Preprocessing Over Abstract is All You Need. In Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, pages 826–830, Bangkok, Thailand. Association for Computational Linguistics.
Cite (Informal):
Eulerian at BioLaySumm: Preprocessing Over Abstract is All You Need (Modi & Karthikeyan, BioNLP-WS 2024)
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PDF:
https://aclanthology.org/2024.bionlp-1.77.pdf