NCUEE-NLP at MEDIQA 2021: Health Question Summarization Using PEGASUS Transformers

Lung Hao Lee, Po Han Chen, Yu Xiang Zeng, Po Lei Lee, Kuo Kai Shyu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

5 引文 斯高帕斯(Scopus)

摘要

This study describes the model design of the NCUEE-NLP system for the MEDIQA challenge at the BioNLP 2021 workshop. We use the PEGASUS transformers and fine-tune the downstream summarization task using our collected and processed datasets. A total of 22 teams participated in the consumer health question summarization task of MEDIQA 2021. Each participating team was allowed to submit a maximum of ten runs. Our best submission, achieving a ROUGE2-F1 score of 0.1597, ranked third among all 128 submissions.

原文???core.languages.en_GB???
主出版物標題Proceedings of the 20th Workshop on Biomedical Language Processing, BioNLP 2021
編輯Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii
發行者Association for Computational Linguistics (ACL)
頁面268-272
頁數5
ISBN(電子)9781954085404
出版狀態已出版 - 2021
事件20th Workshop on Biomedical Language Processing, BioNLP 2021 - Virtual, Online
持續時間: 11 6月 2021 → …

出版系列

名字Proceedings of the 20th Workshop on Biomedical Language Processing, BioNLP 2021

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???event.eventtypes.event.conference???20th Workshop on Biomedical Language Processing, BioNLP 2021
城市Virtual, Online
期間11/06/21 → …

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