@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 = "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/mtsummit-25-ingestion/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."
}