Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning
2021-06-01NAACL (BioNLP) 2021Unverified0· sign in to hype
Ravi Kondadadi, Sahil Manchanda, Jason Ngo, Ronan McCormack
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This paper describes experiments undertaken and their results as part of the BioNLP MEDIQA 2021 challenge. We participated in Task 3: Radiology Report Summarization. Multiple runs were submitted for evaluation, from solutions leveraging transfer learning from pre-trained transformer models, which were then fine tuned on a subset of MIMIC-CXR, for abstractive report summarization. The task was evaluated using ROUGE and our best performing system obtained a ROUGE-2 score of 0.392.