nav-nlp at RadSum23: Abstractive Summarization of Radiology Reports using BART Finetuning
Sri Macharla, Ashok Madamanchi, Nikhilesh Kancharla
BioNLP and BioNLP-ST 2023 Short Paper
TLDR:
This paper describes the experiments undertaken and their results as part of the BioNLP 2023 workshop. We took part in Task 1B: Radiology Report Summarization. Multiple runs were submitted for evaluation from solutions utilizing transfer learning from pre-trained transformer models, which were then
You can open the
#paper-BioNLP_113
channel in a separate window.
Abstract:
This paper describes the experiments undertaken and their results as part of the BioNLP 2023 workshop. We took part in Task 1B: Radiology Report Summarization. Multiple runs were submitted for evaluation from solutions utilizing transfer learning from pre-trained transformer models, which were then fine-tuned on MIMIC-III dataset, for abstractive report summarization.