@inproceedings{9c37ddf25ad945d1a26a4ae4bfd6c693,
title = "NCUEE-NLP at BioLaySumm Task 2: Readability-Controlled Summarization of Biomedical Articles Using the PRIMERA Models",
abstract = "This study describes the model design of the NCUEE-NLP system for BioLaySumm Task 2 at the BioNLP 2023 workshop. We separately fine-tune pretrained PRIMERA models to independently generate technical abstracts and lay summaries of biomedical articles. A total of seven evaluation metrics across three criteria were used to compare system performance. Our best submission was ranked first for relevance, second for readability, and fourth for factuality, tying first for overall performance.",
author = "Chen, {Chao Yi} and Yang, {Jen Hao} and Lee, {Lung Hao}",
note = "Publisher Copyright: {\textcopyright} 2023 Association for Computational Linguistics.; 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, BioNLP 2023 ; Conference date: 13-07-2023",
year = "2023",
language = "???core.languages.en_GB???",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "586--591",
editor = "Dina Demner-fushman and Sophia Ananiadou and Kevin Cohen",
booktitle = "BioNLP 2023 - BioNLP and BioNLP-ST, Proceedings of the Workshop",
}