ISIKSumm at BioLaySumm task 1: BART-based summarization system enhanced with Bio-entity labels
Yükleniyor...
Tarih
2023-07-13
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Association for Computational Linguistics (ACL)
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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 gap between 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.
Açıklama
Anahtar Kelimeler
Computational linguistics, Bio-entities, Biomedical journal, General publics, Main texts, Public IS, Public understanding, Scientific knowledge, Scientific researches, Summarization systems, Abstracting
Kaynak
Proceedings of the Annual Meeting of the Association for Computational Linguistics
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Çolak, Ç. & Karadeniz, İ. (2023). ISIKSumm at BioLaySumm task 1: BART-based summarization system enhanced with Bio-entity labels. Paper presented at the Proceedings of the Annual Meeting of the Association for Computational Linguistics, 636-640.
