EHR-Rel数据集的数据卡片

EHR-Rel是一个新颖的开源1生物医学概念相关性数据集，包含了3630对概念，是现有数据集的六倍。与以往的工作不同，该数据集是从电子健康记录（EHRs）中采样得到的，以确保概念与EHR概念检索任务相关。对数据集中概念的详细分析显示，其覆盖范围远远超过现有数据集。

引用信息

@inproceedings{schulz-etal-2020-biomedical,
    title = {Biomedical Concept Relatedness {--} A large {EHR}-based benchmark},
    author = {Schulz, Claudia  and
      Levy-Kramer, Josh  and
      Van Assel, Camille  and
      Kepes, Miklos  and
      Hammerla, Nils},
    booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
    month = {dec},
    year = {2020},
    address = {Barcelona, Spain (Online)},
    publisher = {International Committee on Computational Linguistics},
    url = {https://aclanthology.org/2020.coling-main.577},
    doi = {10.18653/v1/2020.coling-main.577},
    pages = {6565--6575},
    }