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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 20th Workshop on Biomedical Language Processing, BioNLP 2021
EditorsDina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii
PublisherAssociation for Computational Linguistics (ACL)
Pages268-272
Number of pages5
ISBN (Electronic)9781954085404
StatePublished - 2021
Event20th Workshop on Biomedical Language Processing, BioNLP 2021 - Virtual, Online
Duration: 11 Jun 2021 → …

Publication series

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

Conference

Conference20th Workshop on Biomedical Language Processing, BioNLP 2021
CityVirtual, Online
Period11/06/21 → …

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