@inproceedings{macharla-etal-2023-nav,
    title = "nav-nlp at {R}ad{S}um23: Abstractive Summarization of Radiology Reports using {BART} Finetuning",
    author = "Macharla, Sri  and
      Madamanchi, Ashok  and
      Kancharla, Nikhilesh",
    editor = "Demner-fushman, Dina  and
      Ananiadou, Sophia  and
      Cohen, Kevin",
    booktitle = "Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2023.bionlp-1.55/",
    doi = "10.18653/v1/2023.bionlp-1.55",
    pages = "541--544",
    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."
}