每年專案
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??? |
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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 |
DOIs | |
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 |
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城市 | Virtual, Online |
期間 | 11/06/21 → … |
指紋
深入研究「NCUEE-NLP at MEDIQA 2021: Health Question Summarization Using PEGASUS Transformers」主題。共同形成了獨特的指紋。專案
- 2 已完成
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應用於居家照護之智慧型互動平台-應用於醫療場域及居家照護之智慧 型互動平台- 以人工智慧為核心之腦波人機介面開發(2/4)
Shyu, K.-K. (PI)
1/01/19 → 31/12/19
研究計畫: Research