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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.
|Title of host publication||Proceedings of the 20th Workshop on Biomedical Language Processing, BioNLP 2021|
|Editors||Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii|
|Publisher||Association for Computational Linguistics (ACL)|
|Number of pages||5|
|State||Published - 2021|
|Event||20th Workshop on Biomedical Language Processing, BioNLP 2021 - Virtual, Online|
Duration: 11 Jun 2021 → …
|Name||Proceedings of the 20th Workshop on Biomedical Language Processing, BioNLP 2021|
|Conference||20th Workshop on Biomedical Language Processing, BioNLP 2021|
|Period||11/06/21 → …|
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- 2 Finished
Chinese Knowledge Base Construction and Applications for Medical Healthcare Domain(2/3)
1/05/20 → 30/04/21