Question Answering Based Clinical Text Structuring

doi:doi:10.57702/4i3l70vx

Question Answering Based Clinical Text Structuring

Clinical text structuring is a critical and fundamental task for clinical research. Traditional methods such as task-specific end-to-end models and pipeline models usually suffer from the lack of dataset and error propagation. In this paper, we present a question answering based clinical text structuring (QA-CTS) task to unify different specific CTS tasks and make dataset shareable.

BibTex:

@dataset{Jiahui_Qiu_and_Yangming_Zhou_and_Zhiyuan_Ma_and_Tong_Ruan_and_Jinlin_Liu_and_Jing_Sun_2024,
    abstract = {Clinical text structuring is a critical and fundamental task for clinical research. Traditional methods such as task-specific end-to-end models and pipeline models usually suffer from the lack of dataset and error propagation. In this paper, we present a question answering based clinical text structuring (QA-CTS) task to unify different specific CTS tasks and make dataset shareable.},
    author = {Jiahui Qiu and Yangming Zhou and Zhiyuan Ma and Tong Ruan and Jinlin Liu and Jing Sun},
    doi = {10.57702/4i3l70vx},
    institution = {No Organization},
    keyword = {'Clinical Text Structuring', 'Pre-trained Language Model', 'Question Answering'},
    month = {dec},
    publisher = {TIB},
    title = {Question Answering Based Clinical Text Structuring},
    url = {https://service.tib.eu/ldmservice/dataset/question-answering-based-clinical-text-structuring},
    year = {2024}
}