@inproceedings{torrero-etal-2023-talp,
    title = "{TALP}-{UPC} at {P}rob{S}um 2023: Fine-tuning and Data Augmentation Strategies for {NER}",
    author = "Torrero, Neil  and
      Sant, Gerard  and
      Escolano, Carlos",
    editor = "Demner-fushman, Dina  and
      Ananiadou, Sophia  and
      Cohen, Kevin",
    booktitle = "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://aclanthology.org/2023.bionlp-1.48",
    doi = "10.18653/v1/2023.bionlp-1.48",
    pages = "497--502",
    abstract = "This paper describes the submission of the TALP-UPC team to the Problem List Summarization task from the BioNLP 2023 workshop. This task consists of automatically extracting a list of health issues from the e-health medical record of a given patient. Our submission combines additional steps of data annotationwith finetuning of BERT pre-trained language models. Our experiments focus on the impact of finetuning on different datasets as well as the addition of data augmentation techniques to delay overfitting.",
}

This paper describes the submission of the TALP-UPC team to the Problem List Summarization task from the BioNLP 2023 workshop. This task consists of automatically extracting a list of health issues from the e-health medical record of a given patient. Our submission combines additional steps of data annotationwith finetuning of BERT pre-trained language models. Our experiments focus on the impact of finetuning on different datasets as well as the addition of data augmentation techniques to delay overfitting.
Torrero, Neil Sant, Gerard Escolano, Carlos
TALP-UPC at ProbSum 2023: Fine-tuning and Data Augmentation Strategies for NER